Tweet text analysis tutorial for Aberdeen Study Group
Rosie Baillie
14/04/2021
Connecting to the Twitter API
If you want to connect to Twitter’s API and collect you own data you will need to join Twitter’s Academic Research track. It’s pretty straightforward and my application was approved within 48 hours. If you don’t want to, skip down to where you can load in the data I’ve provided, or you could load in any text data you might have.
When your application is approved, go ahead and set up your “application” by giving it a name. You will then be shown your API keys and secrets, which is what you’ll need to connect to the API via R.
The method I take you through below is not full access to Twitter’s API. This method only gives us a selection of tweets, not every single tweet matching our search criteria. Access to the full API is more complex than what we’re doing today, but there’s some info on Twitter’s website if you want to learn more.
Here’s a list of all the packages you will need to follow this tutorial.
library(rtweet) # Not needed if you aren't connecting to Twitter's API.
library(tidyverse)
library(tidytext)
library(kableExtra)
library(wordcloud)
library(reshape2)
library(syuzhet)
library(stm)To connect to the API, paste in your app name, keys and secrets below.
appname <- "Your app name"
key <- "Your key"
secret <- "Your secret"
twitter_token <- create_token(
app = appname,
consumer_key = key,
consumer_secret = secret,
access_token = "Your access token",
access_secret = "Your access secret)Now that we’ve connected to the API, let’s get searching. As I mentioned above, this won’t give every single tweet relating to your search term but it’s a perfectly good starting place.
# Library
library(tidyverse)
library(tidytext)
Bears <- search_tweets(
"bear", n = 5000, lang = "en", include_rts = FALSE
)
# Since I'm supplying this data to you for this tutorial, I removed any information that could identify people, such as account names, and I'm adding in a random id for each tweet.
Bears <- Bears %>%
select(text, source, favorite_count, retweet_count)
library(ids)
RandID <- random_id(5000, bytes = 3)
Bears$ID <- RandID
save(Bears, file = "BearTweets.Rdata")Load in the data
If you’re just loading in the data I’ve supplied start here.
load("BearTweets.Rdata")Text cleaning
The very first thing we need to do is check for duplicates because the package we’ll be using for topic modelling has issues with duplicates. Unfortunately, we do have some and that’s likely a result of bot tweets. There is a discussion to be had here about removing duplicates because sometimes websites will suggest a tweet for sharing an article, or a fundraising page, so it might not always be from bots. You might not always want to remove your duplicates - and you don’t have to. We’ll go into more detail about that later but if you want to remove your duplicates, run the code below, or skip this section if you don’t.
length(unique(duplicated(Bears$text)))## [1] 2Bears <- Bears[!duplicated(Bears$text), ]The next step is text cleaning; this is where we’ll remove things that aren’t really part of speech, such as “https” which would show up in a tweet if there was a link attached, and take care of some more tweets from bots.
Take a look through the text column - can you see anything you might want to remove? I can see a lot of tweets that are clearly from bots and I’m not interested in those, so I definitely want to get rid of those. The majority of the bot tweets look to have “Cheap Bots, Done Quick!” listed as their source, so that’s an easy way to get rid of those.
library(tidyverse)
library(tidytext)
CleanBear <- Bears %>%
filter(source != "Cheap Bots, Done Quick!")Next, we’re going to remove “stop words”. These are words such as “a” or “the”, which don’t really tell us much about the discussion around bears, or whatever our search term is.
data(stop_words)
CleanBear <- Bears %>%
unnest_tokens(word, text) %>%
anti_join(stop_words, by=c("word"="word")) Now we’ve split our text up by word we can take a look at the most popular words and we might identify some more words we need to remove.
library(kableExtra)
CleanBear %>%
count(word, sort = TRUE) %>%
kable(align = "l") %>%
kable_styling(bootstrap_options = c("striped", "condensed","responsive", "bordered")) %>%
row_spec(0, color = "white", align = "l")%>%
add_header_above(c("Popular words in tweets about bears"= 2), bold = TRUE) %>%
scroll_box(width = "500px", height = "400px") | word | n |
|---|---|
| bear | 3839 |
| https | 1652 |
| t.co | 1652 |
| bts_twt | 239 |
| amp | 224 |
| market | 224 |
| people | 220 |
| love | 217 |
| time | 207 |
| zoo_bear | 204 |
| arms | 195 |
| teddy | 155 |
| 1 | 127 |
| iheartawards | 121 |
| baby | 119 |
| day | 115 |
| 3 | 113 |
| 2 | 111 |
| it’s | 110 |
| coming | 105 |
| god | 101 |
| butter | 94 |
| bts | 88 |
| vote | 87 |
| mind | 86 |
| polar | 85 |
| btsarmy | 82 |
| i’m | 82 |
| don’t | 81 |
| winter | 79 |
| bestfanarmy | 72 |
| life | 71 |
| loss | 68 |
| cute | 66 |
| free | 66 |
| lol | 64 |
| infringed | 62 |
| build | 61 |
| family | 61 |
| hope | 61 |
| bull | 60 |
| 2021 | 59 |
| lot | 59 |
| 4 | 57 |
| april | 56 |
| based | 56 |
| black | 56 |
| happy | 56 |
| strength | 56 |
| regulated | 55 |
| week | 53 |
| bears | 52 |
| militia | 52 |
| real | 52 |
| check | 51 |
| world | 51 |
| can’t | 50 |
| live | 50 |
| wait | 50 |
| amendment | 49 |
| im | 49 |
| brown | 48 |
| days | 48 |
| person | 48 |
| call | 47 |
| feel | 47 |
| june | 47 |
| that’s | 47 |
| voting | 46 |
| wife | 46 |
| gun | 45 |
| home | 45 |
| month | 45 |
| read | 45 |
| bestmusicvideo | 44 |
| bitcoin | 44 |
| care | 44 |
| lt | 44 |
| oxygen | 44 |
| watch | 44 |
| bvf | 43 |
| fun | 43 |
| heart | 43 |
| miss | 43 |
| nr | 43 |
| bad | 42 |
| hear | 42 |
| mama | 42 |
| shit | 42 |
| you’re | 42 |
| birth | 41 |
| crypto | 41 |
| hug | 41 |
| start | 41 |
| 5 | 40 |
| jan | 40 |
| sweetheart | 40 |
| babe | 39 |
| blackpink | 39 |
| feb | 39 |
| friends | 39 |
| gonna | 39 |
| government | 39 |
| hun | 39 |
| remember | 39 |
| 10 | 38 |
| bbrightvc | 38 |
| dec | 38 |
| july | 38 |
| oct | 38 |
| soulmate | 38 |
| 2nd | 37 |
| aug | 37 |
| bub | 37 |
| cost | 37 |
| crush | 37 |
| loml | 37 |
| mar | 37 |
| morning | 37 |
| neon | 37 |
| nov | 37 |
| sept | 37 |
| wanna | 37 |
| witness | 37 |
| dumpling | 36 |
| game | 36 |
| hard | 36 |
| burden | 35 |
| friend | 35 |
| fucking | 34 |
| gummy | 34 |
| pls | 34 |
| pretty | 34 |
| thinking | 34 |
| white | 34 |
| buy | 33 |
| country | 33 |
| grizzly | 33 |
| run | 33 |
| safe | 33 |
| security | 33 |
| share | 33 |
| srinivasiyc | 33 |
| stop | 33 |
| yeah | 33 |
| 8 | 32 |
| children | 32 |
| ice | 32 |
| news | 32 |
| omg | 32 |
| ur | 32 |
| carry | 31 |
| dont | 31 |
| left | 31 |
| responsibility | 31 |
| team | 31 |
| 2a | 30 |
| besties | 30 |
| btc | 30 |
| court | 30 |
| doesn’t | 30 |
| guy | 30 |
| howyoulikethat | 30 |
| music | 30 |
| night | 30 |
| ride | 30 |
| book | 29 |
| head | 29 |
| money | 29 |
| pain | 29 |
| police | 29 |
| post | 29 |
| single | 29 |
| talking | 29 |
| tomorrow | 29 |
| didn’t | 28 |
| girl | 28 |
| kids | 28 |
| listening | 28 |
| makes | 28 |
| price | 28 |
| rights | 28 |
| story | 28 |
| true | 28 |
| win | 28 |
| bit | 27 |
| lost | 27 |
| melting | 27 |
| season | 27 |
| sugar | 27 |
| truth | 27 |
| watching | 27 |
| animal | 26 |
| blue | 26 |
| close | 26 |
| covid | 26 |
| hour | 26 |
| i’ll | 26 |
| markets | 26 |
| means | 26 |
| papa | 26 |
| soul | 26 |
| support | 26 |
| 6 | 25 |
| art | 25 |
| beautiful | 25 |
| boy | 25 |
| brunt | 25 |
| dynamite | 25 |
| fruit | 25 |
| gt | 25 |
| hate | 25 |
| hey | 25 |
| hugs | 25 |
| job | 25 |
| listen | 25 |
| months | 25 |
| play | 25 |
| playadoptme | 25 |
| reason | 25 |
| 25 | |
| understand | 25 |
| 15 | 24 |
| 20 | 24 |
| anymore | 24 |
| dm | 24 |
| found | 24 |
| guess | 24 |
| hands | 24 |
| idea | 24 |
| irene | 24 |
| ready | 24 |
| stolen | 24 |
| wrong | 24 |
| amazing | 23 |
| bring | 23 |
| cat | 23 |
| fight | 23 |
| heard | 23 |
| hold | 23 |
| house | 23 |
| leave | 23 |
| literally | 23 |
| matter | 23 |
| nice | 23 |
| om | 23 |
| public | 23 |
| sad | 23 |
| video | 23 |
| waiting | 23 |
| word | 23 |
| youtube | 23 |
| 30 | 22 |
| bts_butter | 22 |
| called | 22 |
| damn | 22 |
| india | 22 |
| short | 22 |
| strong | 22 |
| 12 | 21 |
| change | 21 |
| constitution | 21 |
| finally | 21 |
| glad | 21 |
| hours | 21 |
| huge | 21 |
| laurenboebert | 21 |
| offer | 21 |
| online | 21 |
| pm | 21 |
| rest | 21 |
| sir | 21 |
| stay | 21 |
| supreme | 21 |
| top | 21 |
| ago | 20 |
| child | 20 |
| death | 20 |
| delhi | 20 |
| due | 20 |
| favorite | 20 |
| food | 20 |
| fuck | 20 |
| funny | 20 |
| future | 20 |
| gift | 20 |
| hair | 20 |
| late | 20 |
| lord | 20 |
| mine | 20 |
| monday | 20 |
| movie | 20 |
| p0tat0_bear | 20 |
| poor | 20 |
| question | 20 |
| running | 20 |
| save | 20 |
| school | 20 |
| summer | 20 |
| sweet | 20 |
| times | 20 |
| women | 20 |
| <U+BC29><U+D0C4><U+C18C><U+B144><U+B2E8> | 19 |
| 7 | 19 |
| birthday | 19 |
| cross | 19 |
| drop | 19 |
| hand | 19 |
| he’s | 19 |
| human | 19 |
| isn’t | 19 |
| level | 19 |
| mom | 19 |
| moment | 19 |
| mother | 19 |
| mui_bear | 19 |
| peace | 19 |
| pink | 19 |
| playing | 19 |
| reality | 19 |
| set | 19 |
| sleep | 19 |
| snow | 19 |
| song | 19 |
| started | 19 |
| sunainaholey | 19 |
| ass | 18 |
| bear’s | 18 |
| blood | 18 |
| community | 18 |
| costs | 18 |
| elixirchu | 18 |
| fr | 18 |
| guys | 18 |
| happened | 18 |
| issue | 18 |
| law | 18 |
| line | 18 |
| list | 18 |
| loved | 18 |
| normal | 18 |
| potential | 18 |
| power | 18 |
| shanti | 18 |
| shop | 18 |
| sound | 18 |
| stuff | 18 |
| thisisjignesh | 18 |
| tweet | 18 |
| account | 17 |
| add | 17 |
| agree | 17 |
| allah | 17 |
| bear_136 | 17 |
| bed | 17 |
| body | 17 |
| couldn’t | 17 |
| die | 17 |
| ears | 17 |
| entire | 17 |
| episode | 17 |
| fine | 17 |
| follow | 17 |
| guns | 17 |
| imagine | 17 |
| lives | 17 |
| na | 17 |
| narendramodi | 17 |
| nfr | 17 |
| panda | 17 |
| past | 17 |
| photo | 17 |
| red | 17 |
| road | 17 |
| soft | 17 |
| taking | 17 |
| told | 17 |
| tom | 17 |
| vaccine | 17 |
| calling | 16 |
| contact | 16 |
| continue | 16 |
| cool | 16 |
| eyes | 16 |
| false | 16 |
| forward | 16 |
| govt | 16 |
| honey | 16 |
| hospitals | 16 |
| issues | 16 |
| jesus | 16 |
| meet | 16 |
| personal | 16 |
| ppl | 16 |
| proud | 16 |
| shirt | 16 |
| shot | 16 |
| spray | 16 |
| stand | 16 |
| trap | 16 |
| war | 16 |
| water | 16 |
| what’s | 16 |
| words | 16 |
| 19 | 15 |
| 21 | 15 |
| answer | 15 |
| army | 15 |
| crossing | 15 |
| dodo | 15 |
| dude | 15 |
| earth | 15 |
| eat | 15 |
| english | 15 |
| golden | 15 |
| i’ve | 15 |
| idk | 15 |
| join | 15 |
| kill | 15 |
| lady | 15 |
| lake | 15 |
| let’s | 15 |
| lose | 15 |
| park | 15 |
| pull | 15 |
| quick | 15 |
| rate | 15 |
| report | 15 |
| schuldensuehner | 15 |
| son | 15 |
| sounds | 15 |
| type | 15 |
| vaccination | 15 |
| attack | 14 |
| bro | 14 |
| character | 14 |
| crazy | 14 |
| dear | 14 |
| etsy | 14 |
| expensive | 14 |
| fan | 14 |
| feeling | 14 |
| fighting | 14 |
| games | 14 |
| giving | 14 |
| hell | 14 |
| history | 14 |
| hit | 14 |
| insurance | 14 |
| killed | 14 |
| kindly | 14 |
| learn | 14 |
| lmao | 14 |
| media | 14 |
| missed | 14 |
| party | 14 |
| patience | 14 |
| perfect | 14 |
| sense | 14 |
| special | 14 |
| spread | 14 |
| starting | 14 |
| straight | 14 |
| talk | 14 |
| tax | 14 |
| term | 14 |
| test | 14 |
| update | 14 |
| wild | 14 |
| woods | 14 |
| worst | 14 |
| y’all | 14 |
| ya | 14 |
| 11 | 13 |
| 2020 | 13 |
| adorable | 13 |
| americans | 13 |
| article | 13 |
| biggest | 13 |
| boo | 13 |
| brother | 13 |
| bunny | 13 |
| burn | 13 |
| citizens | 13 |
| crying | 13 |
| cub | 13 |
| cubs | 13 |
| dog | 13 |
| dream | 13 |
| easy | 13 |
| eating | 13 |
| event | 13 |
| excited | 13 |
| experience | 13 |
| fall | 13 |
| father | 13 |
| finance | 13 |
| fix | 13 |
| folks | 13 |
| friedrich | 13 |
| gotta | 13 |
| grow | 13 |
| grylls | 13 |
| happen | 13 |
| hospital | 13 |
| husband | 13 |
| isabelle | 13 |
| john | 13 |
| key | 13 |
| lil | 13 |
| location | 13 |
| momma | 13 |
| moon | 13 |
| nietzsche | 13 |
| pandemic | 13 |
| parents | 13 |
| patient | 13 |
| phone | 13 |
| plan | 13 |
| private | 13 |
| promise | 13 |
| sending | 13 |
| sexy | 13 |
| spring | 13 |
| tho | 13 |
| timcast | 13 |
| toy | 13 |
| trading | 13 |
| trust | 13 |
| tsaytgayst | 13 |
| turtle | 13 |
| we’re | 13 |
| wearing | 13 |
| accept | 12 |
| actual | 12 |
| age | 12 |
| album | 12 |
| animals | 12 |
| bc | 12 |
| beat | 12 |
| beer | 12 |
| bought | 12 |
| brought | 12 |
| business | 12 |
| buying | 12 |
| class | 12 |
| coffee | 12 |
| colltalers | 12 |
| colltales | 12 |
| comeback | 12 |
| common | 12 |
| concern | 12 |
| congratulations | 12 |
| couple | 12 |
| dad | 12 |
| daily | 12 |
| dead | 12 |
| died | 12 |
| fire | 12 |
| forgive | 12 |
| girls | 12 |
| gregstohr | 12 |
| hide | 12 |
| internet | 12 |
| jojo_bear_99 | 12 |
| king | 12 |
| laws | 12 |
| lie | 12 |
| lies | 12 |
| liquidity | 12 |
| low | 12 |
| luck | 12 |
| managed | 12 |
| owl | 12 |
| pay | 12 |
| poke | 12 |
| pooh | 12 |
| rahulgandhi | 12 |
| reading | 12 |
| reflection | 12 |
| rising | 12 |
| round | 12 |
| sell | 12 |
| significant | 12 |
| skin | 12 |
| stock | 12 |
| stream | 12 |
| system | 12 |
| terrible | 12 |
| thou | 12 |
| ulf78t3rcs | 12 |
| vachiratweets | 12 |
| version | 12 |
| wear | 12 |
| written | 12 |
| wtf | 12 |
| yesterday | 12 |
| 2018 | 11 |
| 50 | 11 |
| act | 11 |
| air | 11 |
| awesome | 11 |
| band | 11 |
| books | 11 |
| breaking | 11 |
| calls | 11 |
| chest | 11 |
| city | 11 |
| complaint | 11 |
| condolences | 11 |
| consequences | 11 |
| control | 11 |
| cover | 11 |
| date | 11 |
| de | 11 |
| delay | 11 |
| design | 11 |
| diamond | 11 |
| drink | 11 |
| dumb | 11 |
| feet | 11 |
| florida | 11 |
| forget | 11 |
| free_thinker | 11 |
| fruits | 11 |
| haha | 11 |
| homeowners | 11 |
| hungry | 11 |
| hunt | 11 |
| hurt | 11 |
| including | 11 |
| joydas | 11 |
| ki | 11 |
| link | 11 |
| losing | 11 |
| mass | 11 |
| meaning | 11 |
| met | 11 |
| modi | 11 |
| mug | 11 |
| national | 11 |
| nature | 11 |
| nook | 11 |
| personally | 11 |
| plant | 11 |
| rhoa | 11 |
| rn | 11 |
| situation | 11 |
| size | 11 |
| songs | 11 |
| space | 11 |
| speak | 11 |
| spend | 11 |
| spirit | 11 |
| student | 11 |
| sun | 11 |
| supposed | 11 |
| throw | 11 |
| trade | 11 |
| voice | 11 |
| walking | 11 |
| weekend | 11 |
| worry | 11 |
| wow | 11 |
| 100 | 10 |
| 26 | 10 |
| ability | 10 |
| agenda | 10 |
| ah | 10 |
| ahead | 10 |
| allowed | 10 |
| arivalayam | 10 |
| bare | 10 |
| bat | 10 |
| bet | 10 |
| bill | 10 |
| bullish | 10 |
| capable | 10 |
| charity | 10 |
| children’s | 10 |
| choose | 10 |
| comment | 10 |
| constitutional | 10 |
| corona | 10 |
| cry | 10 |
| decision | 10 |
| defense | 10 |
| details | 10 |
| difficult | 10 |
| dip | 10 |
| dmk_youthwing | 10 |
| dmkitwing | 10 |
| donation | 10 |
| dr | 10 |
| eggs | 10 |
| evil | 10 |
| fans | 10 |
| fed | 10 |
| fox | 10 |
| funds | 10 |
| ghost | 10 |
| green | 10 |
| grin | 10 |
| hasibaamin | 10 |
| hat | 10 |
| heavy | 10 |
| inside | 10 |
| kangaroo | 10 |
| kinda | 10 |
| lion | 10 |
| lisforeva | 10 |
| load | 10 |
| local | 10 |
| locked | 10 |
| lots | 10 |
| mad | 10 |
| madhu7777 | 10 |
| magic | 10 |
| major | 10 |
| message | 10 |
| minutes | 10 |
| move | 10 |
| nation | 10 |
| natural | 10 |
| note | 10 |
| opinion | 10 |
| panic | 10 |
| partnership | 10 |
| patients | 10 |
| pic | 10 |
| po | 10 |
| posting | 10 |
| premiums | 10 |
| protect | 10 |
| remain | 10 |
| reply | 10 |
| return | 10 |
| rex | 10 |
| risk | 10 |
| sharing | 10 |
| sleeping | 10 |
| social | 10 |
| soundcloud | 10 |
| speed | 10 |
| stupid | 10 |
| super | 10 |
| tiger | 10 |
| till | 10 |
| toys | 10 |
| trbrajaa | 10 |
| trendsdmk | 10 |
| udhaystalin | 10 |
| unable | 10 |
| urgent | 10 |
| videos | 10 |
| votewithami | 10 |
| wake | 10 |
| walk | 10 |
| weapons | 10 |
| y’all | 10 |
| 13 | 9 |
| 18 | 9 |
| 9 | 9 |
| action | 9 |
| added | 9 |
| almighty | 9 |
| audit | 9 |
| bank | 9 |
| base | 9 |
| beach | 9 |
| bee | 9 |
| born | 9 |
| bottom | 9 |
| brand | 9 |
| break | 9 |
| candy | 9 |
| car | 9 |
| caused | 9 |
| cave | 9 |
| channel | 9 |
| correction | 9 |
| courage | 9 |
| crash | 9 |
| departed | 9 |
| dklavaniatoi | 9 |
| dragon | 9 |
| exist | 9 |
| expecting | 9 |
| fake | 9 |
| families | 9 |
| feels | 9 |
| fit | 9 |
| fluffy | 9 |
| focus | 9 |
| forest | 9 |
| foundation | 9 |
| front | 9 |
| frost | 9 |
| fur | 9 |
| furry | 9 |
| gold | 9 |
| holders | 9 |
| hoping | 9 |
| hot | 9 |
| hunting | 9 |
| iheart | 9 |
| ill | 9 |
| image | 9 |
| immediately | 9 |
| info | 9 |
| intelcrab | 9 |
| involved | 9 |
| kid | 9 |
| ko | 9 |
| latimes | 9 |
| learning | 9 |
| loves | 9 |
| middle | 9 |
| north | 9 |
| offered | 9 |
| page | 9 |
| pantry | 9 |
| pet | 9 |
| picture | 9 |
| pictures | 9 |
| plush | 9 |
| political | 9 |
| position | 9 |
| posted | 9 |
| pray | 9 |
| project | 9 |
| purpose | 9 |
| queen | 9 |
| quinn__zel | 9 |
| raise | 9 |
| reach | 9 |
| recent | 9 |
| reporttweet_ | 9 |
| request | 9 |
| research | 9 |
| resemblance | 9 |
| roflgandhi_ | 9 |
| safety | 9 |
| sat | 9 |
| send | 9 |
| shalt | 9 |
| shame | 9 |
| sign | 9 |
| simple | 9 |
| sitting | 9 |
| smart | 9 |
| sort | 9 |
| south | 9 |
| store | 9 |
| stories | 9 |
| streaming | 9 |
| students | 9 |
| suffering | 9 |
| taehyung | 9 |
| there’s | 9 |
| timeframe | 9 |
| tiny | 9 |
| totally | 9 |
| track | 9 |
| tree | 9 |
| trees | 9 |
| tv | 9 |
| tweets | 9 |
| violence | 9 |
| we’ve | 9 |
| weeks | 9 |
| woman | 9 |
| worth | 9 |
| wouldn’t | 9 |
| wrote | 9 |
| <U+3164> | 8 |
| 00pm | 8 |
| 100x_10,000x | 8 |
| 18mcap | 8 |
| 25 | 8 |
| 33 | 8 |
| 37,000 | 8 |
| absolutely | 8 |
| agreed | 8 |
| altnewsscience | 8 |
| america | 8 |
| amount | 8 |
| apple | 8 |
| attention | 8 |
| average | 8 |
| avoid | 8 |
| basically | 8 |
| bece | 8 |
| beds | 8 |
| bible | 8 |
| bpmillion_ | 8 |
| brain | 8 |
| btsvotingvn | 8 |
| btw | 8 |
| bunch | 8 |
| busy | 8 |
| chance | 8 |
| characters | 8 |
| chart | 8 |
| choice | 8 |
| clause | 8 |
| cold | 8 |
| company | 8 |
| confirm | 8 |
| content | 8 |
| couldnt | 8 |
| creek | 8 |
| cycle | 8 |
| cylinder | 8 |
| daddy | 8 |
| data | 8 |
| effects | 8 |
| egg | 8 |
| enjoy | 8 |
| expect | 8 |
| eye | 8 |
| fast | 8 |
| fat | 8 |
| fish | 8 |
| fly | 8 |
| form | 8 |
| freedom | 8 |
| giant | 8 |
| glenn | 8 |
| grant | 8 |
| haechan | 8 |
| half | 8 |
| hatred | 8 |
| heartfelt | 8 |
| hehe | 8 |
| holding | 8 |
| holy | 8 |
| hungrybear | 8 |
| indian | 8 |
| individual | 8 |
| ji | 8 |
| jim | 8 |
| juice | 8 |
| justice | 8 |
| lead | 8 |
| light | 8 |
| louies | 8 |
| lying | 8 |
| meant | 8 |
| medical | 8 |
| mitsurukiribot | 8 |
| murder | 8 |
| named | 8 |
| nursery | 8 |
| ooh | 8 |
| original | 8 |
| plz | 8 |
| poking | 8 |
| president | 8 |
| prices | 8 |
| protected | 8 |
| provide | 8 |
| putting | 8 |
| questions | 8 |
| quickly | 8 |
| reduce | 8 |
| related | 8 |
| relax | 8 |
| religion | 8 |
| response | 8 |
| review | 8 |
| rock | 8 |
| saturday | 8 |
| scared | 8 |
| scary | 8 |
| scene | 8 |
| scotus | 8 |
| selling | 8 |
| shout | 8 |
| sick | 8 |
| singing | 8 |
| sold | 8 |
| spot | 8 |
| stopped | 8 |
| tech | 8 |
| telling | 8 |
| town | 8 |
| unflop | 8 |
| visit | 8 |
| watched | 8 |
| website | 8 |
| weird | 8 |
| yellow | 8 |
| yogi | 8 |
| zoo | 8 |
| 2017 | 7 |
| 27 | 7 |
| 28 | 7 |
| 80 | 7 |
| 97bngchn | 7 |
| adoptmetrades | 7 |
| alright | 7 |
| altnews | 7 |
| answers | 7 |
| anytime | 7 |
| appears | 7 |
| apr | 7 |
| arm | 7 |
| arrange | 7 |
| ate | 7 |
| baat | 7 |
| ball | 7 |
| balls | 7 |
| bear’s | 7 |
| biden | 7 |
| bighit_music | 7 |
| bjp | 7 |
| blame | 7 |
| bodies | 7 |
| box | 7 |
| broken | 7 |
| bts_bighit | 7 |
| building | 7 |
| butterfly | 7 |
| cash | 7 |
| centre | 7 |
| century | 7 |
| choco | 7 |
| chocolate | 7 |
| claim | 7 |
| clean | 7 |
| clothes | 7 |
| clown | 7 |
| code | 7 |
| comments | 7 |
| communities | 7 |
| corner | 7 |
| corporate | 7 |
| correct | 7 |
| cuz | 7 |
| dangerous | 7 |
| decent | 7 |
| decided | 7 |
| deepest | 7 |
| demand | 7 |
| deserve | 7 |
| dies | 7 |
| digital | 7 |
| dishxx_a | 7 |
| doesnt | 7 |
| dogs | 7 |
| door | 7 |
| double | 7 |
| drama | 7 |
| dreams | 7 |
| drinking | 7 |
| eats | 7 |
| elonmusk | 7 |
| enjoyed | 7 |
| entering | 7 |
| eth | 7 |
| eu | 7 |
| everyday | 7 |
| 7 | |
| fellow | 7 |
| fill | 7 |
| flag | 7 |
| flower | 7 |
| followers | 7 |
| forever | 7 |
| friday | 7 |
| fucked | 7 |
| funding | 7 |
| fury | 7 |
| global | 7 |
| 7 | |
| gop | 7 |
| graduation | 7 |
| grief | 7 |
| griffin | 7 |
| ground | 7 |
| grumpy | 7 |
| guilt | 7 |
| handle | 7 |
| handmade | 7 |
| happening | 7 |
| health | 7 |
| horse | 7 |
| humans | 7 |
| ideas | 7 |
| information | 7 |
| invest | 7 |
| investment | 7 |
| irreparable | 7 |
| khanumarfa | 7 |
| kim_lucas136 | 7 |
| kth__bear | 7 |
| launchzoneann | 7 |
| letting | 7 |
| levels | 7 |
| likes | 7 |
| limited | 7 |
| looked | 7 |
| loving | 7 |
| mask | 7 |
| meat | 7 |
| melt | 7 |
| mentioned | 7 |
| military | 7 |
| min | 7 |
| minute | 7 |
| mon | 7 |
| monkey | 7 |
| mum | 7 |
| neiltyson | 7 |
| nitishkumar | 7 |
| notice | 7 |
| nuclear | 7 |
| ny | 7 |
| oscar | 7 |
| ox | 7 |
| pacewar_6220 | 7 |
| pass | 7 |
| penguins | 7 |
| photos | 7 |
| pie | 7 |
| pmoindia | 7 |
| pressure | 7 |
| puppy | 7 |
| quality | 7 |
| reallyswara | 7 |
| reasons | 7 |
| recently | 7 |
| reminded | 7 |
| results | 7 |
| rip | 7 |
| service | 7 |
| setting | 7 |
| seulgi | 7 |
| she’s | 7 |
| shocked | 7 |
| shrew | 7 |
| simply | 7 |
| sky | 7 |
| slow | 7 |
| source | 7 |
| st.clair | 7 |
| standing | 7 |
| star | 7 |
| starfess | 7 |
| starts | 7 |
| statement | 7 |
| statements | 7 |
| suit | 7 |
| survived | 7 |
| tag | 7 |
| tank | 7 |
| target | 7 |
| taste | 7 |
| telegram | 7 |
| tf | 7 |
| theory | 7 |
| thread | 7 |
| tickets | 7 |
| tonight | 7 |
| treatment | 7 |
| trump | 7 |
| tyaekae | 7 |
| uncle | 7 |
| uoft_bear | 7 |
| uwu | 7 |
| verified | 7 |
| we’ll | 7 |
| weapon | 7 |
| wildlife | 7 |
| wind | 7 |
| wolf | 7 |
| worse | 7 |
| write | 7 |
| wsj | 7 |
| ye | 7 |
| you’ll | 7 |
| you’ve | 7 |
| youre | 7 |
| <U+1EA1> | 6 |
| 04 | 6 |
| 17 | 6 |
| 1st | 6 |
| 2022 | 6 |
| 22 | 6 |
| 35 | 6 |
| 3rd | 6 |
| 40 | 6 |
| 500 | 6 |
| 50k | 6 |
| 60 | 6 |
| 90 | 6 |
| abhisar_sharma | 6 |
| abuse | 6 |
| academy | 6 |
| actions | 6 |
| adventure | 6 |
| amplify | 6 |
| analysis | 6 |
| ankitlal | 6 |
| anti | 6 |
| apologies | 6 |
| app | 6 |
| apparently | 6 |
| appreciated | 6 |
| aren’t | 6 |
| arkcmdr | 6 |
| askthepankazzzz | 6 |
| assume | 6 |
| australian | 6 |
| awkward | 6 |
| background | 6 |
| bags | 6 |
| baiting | 6 |
| basic | 6 |
| battle | 6 |
| bear_664 | 6 |
| bearthday | 6 |
| begins | 6 |
| beige | 6 |
| benshapiro | 6 |
| biharhealthdept | 6 |
| bnb | 6 |
| board | 6 |
| borisjohnson | 6 |
| bullying | 6 |
| burdens | 6 |
| butt | 6 |
| capital | 6 |
| cartoon | 6 |
| catch | 6 |
| cciv | 6 |
| center | 6 |
| changed | 6 |
| chicken | 6 |
| classic | 6 |
| concealed | 6 |
| congrats | 6 |
| constantly | 6 |
| context | 6 |
| convinced | 6 |
| count | 6 |
| covered | 6 |
| credit | 6 |
| cut | 6 |
| cutest | 6 |
| da | 6 |
| dance | 6 |
| dc | 6 |
| deal | 6 |
| deaths | 6 |
| debate | 6 |
| decade | 6 |
| deep | 6 |
| definition | 6 |
| delhiite_ | 6 |
| difference | 6 |
| dish | 6 |
| disney | 6 |
| dna | 6 |
| doubt | 6 |
| dropped | 6 |
| dun | 6 |
| dying | 6 |
| easier | 6 |
| emotional | 6 |
| emu | 6 |
| energy | 6 |
| enter | 6 |
| eventually | 6 |
| excuse | 6 |
| extremely | 6 |
| failed | 6 |
| fair | 6 |
| fault | 6 |
| fear | 6 |
| federal | 6 |
| feedback | 6 |
| film | 6 |
| finish | 6 |
| forced | 6 |
| fortitude | 6 |
| frog | 6 |
| gay | 6 |
| gifts | 6 |
| glory | 6 |
| godzilla | 6 |
| golf | 6 |
| gorgeous | 6 |
| grab | 6 |
| grace | 6 |
| growth | 6 |
| guard | 6 |
| guardion | 6 |
| hai | 6 |
| haven’t | 6 |
| hero | 6 |
| hilarious | 6 |
| honestly | 6 |
| inconvenience | 6 |
| increase | 6 |
| infrastructure | 6 |
| isarah1234 | 6 |
| island | 6 |
| itsjannu | 6 |
| itzy | 6 |
| itzyofficial | 6 |
| japan | 6 |
| johnson | 6 |
| jump | 6 |
| keeping | 6 |
| la | 6 |
| leader | 6 |
| leaders | 6 |
| leads | 6 |
| learned | 6 |
| lovely | 6 |
| max | 6 |
| mental | 6 |
| messages | 6 |
| metal | 6 |
| mid | 6 |
| million | 6 |
| millions | 6 |
| misses | 6 |
| missing | 6 |
| mkstalin_for_cm | 6 |
| modern | 6 |
| mothers | 6 |
| mountain | 6 |
| moving | 6 |
| multiple | 6 |
| mynt_216 | 6 |
| names | 6 |
| nhikookie9297 | 6 |
| nickiminaj | 6 |
| nishadsri | 6 |
| nistula | 6 |
| nitishledubega | 6 |
| nyx | 6 |
| ocean | 6 |
| oscars | 6 |
| outdoors | 6 |
| pa | 6 |
| pakistan | 6 |
| pee | 6 |
| pets | 6 |
| pfizer | 6 |
| pick | 6 |
| pizza | 6 |
| planning | 6 |
| plot | 6 |
| port | 6 |
| positive | 6 |
| prayers | 6 |
| pre | 6 |
| process | 6 |
| products | 6 |
| profit | 6 |
| program | 6 |
| propaganda | 6 |
| pushing | 6 |
| race | 6 |
| raewynngrant | 6 |
| raised | 6 |
| ran | 6 |
| random | 6 |
| rates | 6 |
| realize | 6 |
| reference | 6 |
| regular | 6 |
| relevant | 6 |
| remote | 6 |
| republican | 6 |
| required | 6 |
| resources | 6 |
| respect | 6 |
| responded | 6 |
| responsible | 6 |
| returns | 6 |
| robbed | 6 |
| s3eay5rptd | 6 |
| sale | 6 |
| science | 6 |
| scottmelker | 6 |
| sentence | 6 |
| separate | 6 |
| series | 6 |
| services | 6 |
| shaped | 6 |
| shares | 6 |
| shootings | 6 |
| signal | 6 |
| signs | 6 |
| sis | 6 |
| sister | 6 |
| someone’s | 6 |
| specifically | 6 |
| spent | 6 |
| steve | 6 |
| stickers | 6 |
| stomach | 6 |
| streets | 6 |
| stuffed | 6 |
| style | 6 |
| suffer | 6 |
| suga | 6 |
| surely | 6 |
| surprise | 6 |
| surprised | 6 |
| survival | 6 |
| takes | 6 |
| tea | 6 |
| temptation | 6 |
| texas | 6 |
| they’re | 6 |
| tired | 6 |
| touch | 6 |
| traffic | 6 |
| umashankarsingh | 6 |
| updated | 6 |
| upset | 6 |
| urge | 6 |
| usual | 6 |
| vaccinated | 6 |
| vaccines | 6 |
| valid | 6 |
| veva_peter | 6 |
| wall | 6 |
| weak | 6 |
| weather | 6 |
| wedding | 6 |
| wednesday | 6 |
| weight | 6 |
| woke | 6 |
| won’t | 6 |
| wonderful | 6 |
| workers | 6 |
| <U+0E0A><U+0E38><U+0E14> | 5 |
| <U+0E40><U+0E01><U+0E32><U+0E2B><U+0E25><U+0E35> | 5 |
| <U+D574><U+CC2C> | 5 |
| 00 | 5 |
| 14 | 5 |
| 16_bit_bear | 5 |
| 24 | 5 |
| 25th | 5 |
| 2seokily | 5 |
| 44 | 5 |
| abc | 5 |
| abner | 5 |
| absolute | 5 |
| abt | 5 |
| active | 5 |
| ad | 5 |
| admit | 5 |
| adoptmetrade | 5 |
| adoptmetrading | 5 |
| ads | 5 |
| adult | 5 |
| advance | 5 |
| afraid | 5 |
| afternoon | 5 |
| aishmonstaaaaaa | 5 |
| amazon | 5 |
| amen | 5 |
| amitmalviya | 5 |
| amtrading | 5 |
| amybyul | 5 |
| apologize | 5 |
| arizona | 5 |
| armed | 5 |
| author | 5 |
| awful | 5 |
| backyard | 5 |
| bag | 5 |
| banned | 5 |
| bar | 5 |
| basement | 5 |
| bear_mdlalose | 5 |
| bearish | 5 |
| bearpacker | 5 |
| beast | 5 |
| bedtime | 5 |
| belly | 5 |
| benefit | 5 |
| bestie | 5 |
| bhai | 5 |
| blacks | 5 |
| blanket | 5 |
| block | 5 |
| bora___bear | 5 |
| boss | 5 |
| bottle | 5 |
| bounce | 5 |
| boyfriend | 5 |
| boys | 5 |
| btsv | 5 |
| built | 5 |
| calm | 5 |
| cancer | 5 |
| capitol | 5 |
| cards | 5 |
| cares | 5 |
| cats | 5 |
| celebrate | 5 |
| chain | 5 |
| challenge | 5 |
| changing | 5 |
| charge | 5 |
| charlie | 5 |
| chetan_naik | 5 |
| child’s | 5 |
| christophr_bear | 5 |
| click | 5 |
| closet | 5 |
| coin | 5 |
| coins | 5 |
| companies | 5 |
| compared | 5 |
| completely | 5 |
| congress | 5 |
| considered | 5 |
| continued | 5 |
| continues | 5 |
| corrupt | 5 |
| cos | 5 |
| cow | 5 |
| craftymcclever | 5 |
| cream | 5 |
| cryptocurrencies | 5 |
| cuddly | 5 |
| current | 5 |
| dad’s | 5 |
| dancing | 5 |
| dates | 5 |
| deer | 5 |
| delhipolice | 5 |
| direct | 5 |
| disciples | 5 |
| discussion | 5 |
| dmv | 5 |
| dogecoin | 5 |
| dogecoin_rise | 5 |
| draw | 5 |
| dropping | 5 |
| drunk | 5 |
| dry | 5 |
| dump | 5 |
| ebay | 5 |
| 5 | |
| encounter | 5 |
| escape | 5 |
| evening | 5 |
| excellent | 5 |
| expand | 5 |
| expected | 5 |
| experiencing | 5 |
| explain | 5 |
| fail | 5 |
| failure | 5 |
| falling | 5 |
| favechoreography | 5 |
| favourite | 5 |
| feelings | 5 |
| fields | 5 |
| financial | 5 |
| finding | 5 |
| flirtyyang | 5 |
| floor | 5 |
| force | 5 |
| foreign | 5 |
| forgot | 5 |
| founders | 5 |
| gain | 5 |
| gohorned | 5 |
| goodnight | 5 |
| grade | 5 |
| growing | 5 |
| grown | 5 |
| gulfkanawut | 5 |
| hahaha | 5 |
| hanging | 5 |
| harry | 5 |
| healingwithkimtaehyung | 5 |
| healthy | 5 |
| heaven | 5 |
| heller | 5 |
| helping | 5 |
| honor | 5 |
| huh | 5 |
| hundreds | 5 |
| hunzukutz_kahn | 5 |
| hyena | 5 |
| i’d | 5 |
| idiot | 5 |
| ig | 5 |
| ignorance | 5 |
| images | 5 |
| imma | 5 |
| inappropriate | 5 |
| indians | 5 |
| insane | 5 |
| inspired | 5 |
| international | 5 |
| iohk_charles | 5 |
| isnt | 5 |
| jack | 5 |
| jimcramer | 5 |
| jk | 5 |
| joke | 5 |
| journalists | 5 |
| joy | 5 |
| ka | 5 |
| ke | 5 |
| keepsake | 5 |
| kills | 5 |
| kimrainseokjin | 5 |
| kimtaehyung | 5 |
| koala | 5 |
| kth_nepal | 5 |
| kth1 | 5 |
| lack | 5 |
| ladies | 5 |
| larry | 5 |
| laugh | 5 |
| laughing | 5 |
| launch | 5 |
| leadership | 5 |
| leaves | 5 |
| legal | 5 |
| legally | 5 |
| liberal | 5 |
| limit | 5 |
| links | 5 |
| lived | 5 |
| living | 5 |
| loose | 5 |
| losses | 5 |
| lucky | 5 |
| luv | 5 |
| machine | 5 |
| mama_bear_sarah | 5 |
| man’s | 5 |
| marketing | 5 |
| marriage | 5 |
| married2med | 5 |
| material | 5 |
| memory | 5 |
| mention | 5 |
| mjs_dc | 5 |
| mo | 5 |
| mumbai | 5 |
| nah | 5 |
| nidhi | 5 |
| officekiran | 5 |
| ol | 5 |
| option | 5 |
| orange | 5 |
| outrun | 5 |
| owls | 5 |
| package | 5 |
| paid | 5 |
| parrot | 5 |
| passed | 5 |
| pattern | 5 |
| paying | 5 |
| payment | 5 |
| pays | 5 |
| pc | 5 |
| performance | 5 |
| played | 5 |
| plushes | 5 |
| pookie | 5 |
| posts | 5 |
| practice | 5 |
| praise | 5 |
| prefer | 5 |
| press | 5 |
| prevent | 5 |
| profits | 5 |
| ps | 5 |
| pump | 5 |
| quiet | 5 |
| rabbit | 5 |
| racism | 5 |
| rape | 5 |
| reaction | 5 |
| record | 5 |
| reindeer | 5 |
| reminds | 5 |
| remove | 5 |
| reports | 5 |
| returned | 5 |
| rich | 5 |
| ripped | 5 |
| roaming | 5 |
| robots | 5 |
| rsi | 5 |
| rules | 5 |
| rumors | 5 |
| runs | 5 |
| ryan | 5 |
| sacrifice | 5 |
| sadly | 5 |
| saketgokhale | 5 |
| sakshijoshii | 5 |
| sama | 5 |
| satya_vachann | 5 |
| scalia | 5 |
| scare | 5 |
| scientists | 5 |
| se | 5 |
| seal | 5 |
| sector | 5 |
| sedi_bear | 5 |
| sex | 5 |
| shadow | 5 |
| shared | 5 |
| shark | 5 |
| shes | 5 |
| shoulder | 5 |
| shut | 5 |
| silly | 5 |
| similar | 5 |
| sincere | 5 |
| sit | 5 |
| smile | 5 |
| smiles | 5 |
| smokey | 5 |
| soo | 5 |
| sports | 5 |
| spotted | 5 |
| squad | 5 |
| square | 5 |
| stick | 5 |
| sticker | 5 |
| stoolpresidente | 5 |
| sugarbeareu | 5 |
| suggest | 5 |
| supply | 5 |
| systems | 5 |
| teacher | 5 |
| tears | 5 |
| technical | 5 |
| teddy_bear_bw | 5 |
| ten | 5 |
| tennis | 5 |
| tesla | 5 |
| thevirdas | 5 |
| tier | 5 |
| title | 5 |
| token | 5 |
| tough | 5 |
| trained | 5 |
| training | 5 |
| trans | 5 |
| transfer | 5 |
| trauma | 5 |
| travel | 5 |
| tsla | 5 |
| tweeting | 5 |
| ty | 5 |
| uh | 5 |
| uk | 5 |
| um | 5 |
| uppolice | 5 |
| users | 5 |
| victim | 5 |
| view | 5 |
| views | 5 |
| violent | 5 |
| virtual | 5 |
| vladizgreat | 5 |
| warm | 5 |
| wasn’t | 5 |
| whats | 5 |
| window | 5 |
| winnie | 5 |
| won | 5 |
| writing | 5 |
| xrp | 5 |
| yea | 5 |
| yep | 5 |
| you’d | 5 |
| <U+0E1E><U+0E23><U+0E35> | 4 |
| <U+BC29><U+D0C4><U+C18C><U+B144><U+B2E8><U+BDD4> | 4 |
| <U+BDD4> | 4 |
| <U+D0DC><U+D615> | 4 |
| 0 | 4 |
| 21st | 4 |
| 30k | 4 |
| 38 | 4 |
| 400 | 4 |
| 65 | 4 |
| 6th | 4 |
| 85 | 4 |
| 91 | 4 |
| a_single_bear | 4 |
| accused | 4 |
| acting | 4 |
| addition | 4 |
| addressed | 4 |
| adhicutting | 4 |
| adoptme | 4 |
| advantage | 4 |
| advice | 4 |
| af | 4 |
| aid | 4 |
| ain’t | 4 |
| alaska | 4 |
| alimehdi_inc | 4 |
| american | 4 |
| amitshah | 4 |
| angels | 4 |
| angry | 4 |
| angst | 4 |
| anime | 4 |
| anniversary | 4 |
| anxiety | 4 |
| applied | 4 |
| applies | 4 |
| artic | 4 |
| arvindkejriwal | 4 |
| asap | 4 |
| assured | 4 |
| attacked | 4 |
| audio | 4 |
| australia | 4 |
| authority | 4 |
| ave | 4 |
| aware | 4 |
| aww | 4 |
| bcoz | 4 |
| bdutt | 4 |
| bean | 4 |
| bear_foote_ | 4 |
| bear_kko | 4 |
| bearing | 4 |
| bearruthann | 4 |
| beating | 4 |
| beats | 4 |
| behavior | 4 |
| believes | 4 |
| ben | 4 |
| bengals | 4 |
| benji | 4 |
| beomgyu | 4 |
| bigger | 4 |
| binance | 4 |
| bitch | 4 |
| bite | 4 |
| blocked | 4 |
| blockfolio | 4 |
| blonde | 4 |
| bloody | 4 |
| bodysuit | 4 |
| boi | 4 |
| branches | 4 |
| bridge | 4 |
| bringing | 4 |
| british | 4 |
| brothers | 4 |
| bscxheroes | 4 |
| btslovesyou77 | 4 |
| bubble | 4 |
| bw_tolodpai | 4 |
| bye | 4 |
| callmenikkimc | 4 |
| camping | 4 |
| candy_bear_5 | 4 |
| captain | 4 |
| carrying | 4 |
| central | 4 |
| ceo | 4 |
| chat | 4 |
| checked | 4 |
| checking | 4 |
| cheers | 4 |
| childofserpent | 4 |
| chinese | 4 |
| chuck | 4 |
| church | 4 |
| claw | 4 |
| climate | 4 |
| clip | 4 |
| clothing | 4 |
| clouds | 4 |
| club | 4 |
| cmodelhi | 4 |
| cnn | 4 |
| coca | 4 |
| collection | 4 |
| comfort | 4 |
| commercial | 4 |
| concept | 4 |
| concert | 4 |
| condition | 4 |
| confirmed | 4 |
| confused | 4 |
| connection | 4 |
| conservative | 4 |
| continuing | 4 |
| cooking | 4 |
| cop | 4 |
| core | 4 |
| costume | 4 |
| counter | 4 |
| countries | 4 |
| county | 4 |
| coworkers | 4 |
| crack | 4 |
| craft | 4 |
| created | 4 |
| creating | 4 |
| cremation | 4 |
| crimes | 4 |
| cringe | 4 |
| cringy_bear | 4 |
| crocodile | 4 |
| cryptocurrency | 4 |
| cryptorecruitr | 4 |
| ct | 4 |
| cuddle | 4 |
| culkin22 | 4 |
| cutting | 4 |
| daughter | 4 |
| decades | 4 |
| decide | 4 |
| decline | 4 |
| decor | 4 |
| defeat | 4 |
| delete | 4 |
| democracy | 4 |
| democracynow | 4 |
| demon | 4 |
| dentist | 4 |
| deosai | 4 |
| deposition | 4 |
| desire | 4 |
| development | 4 |
| devil | 4 |
| dig | 4 |
| dinner | 4 |
| dis | 4 |
| disappointed | 4 |
| dispute | 4 |
| doll | 4 |
| donate | 4 |
| dose | 4 |
| drawing | 4 |
| draxew | 4 |
| drfghobo | 4 |
| drug | 4 |
| duck | 4 |
| dunzoit | 4 |
| earlier | 4 |
| economic | 4 |
| economy | 4 |
| edward | 4 |
| effective | 4 |
| ek | 4 |
| em | 4 |
| empty | 4 |
| ensure | 4 |
| epic | 4 |
| equipment | 4 |
| etf | 4 |
| euphoria | 4 |
| evanrva9 | 4 |
| exciting | 4 |
| exohoetwt_ | 4 |
| extended | 4 |
| faithful | 4 |
| falls | 4 |
| fam | 4 |
| farhat_naik_ | 4 |
| farrookh | 4 |
| fart | 4 |
| fave | 4 |
| fiction | 4 |
| fights | 4 |
| figure | 4 |
| filled | 4 |
| final | 4 |
| fingers | 4 |
| finished | 4 |
| fits | 4 |
| flags | 4 |
| focused | 4 |
| foot | 4 |
| fourth | 4 |
| freaking | 4 |
| friendly | 4 |
| fries | 4 |
| fund | 4 |
| gentle | 4 |
| geoffrbennett | 4 |
| german | 4 |
| giftideas | 4 |
| glorified | 4 |
| gm | 4 |
| goal | 4 |
| goo | 4 |
| gov | 4 |
| gov’t | 4 |
| govts | 4 |
| grandmother | 4 |
| grass | 4 |
| greatness | 4 |
| grey | 4 |
| gummi | 4 |
| gyutie_bear | 4 |
| h4 | 4 |
| hang | 4 |
| happily | 4 |
| haramiparindey | 4 |
| harassing | 4 |
| harm | 4 |
| hates | 4 |
| heartbreaking | 4 |
| hearts | 4 |
| heliumsooya | 4 |
| hibernating | 4 |
| highs | 4 |
| hikingwithshawn | 4 |
| hill | 4 |
| hits | 4 |
| ho | 4 |
| hodl | 4 |
| hole | 4 |
| homes | 4 |
| hoodie | 4 |
| horrible | 4 |
| hugging | 4 |
| hv | 4 |
| iam | 4 |
| id | 4 |
| ii | 4 |
| ily | 4 |
| imo | 4 |
| impossible | 4 |
| income | 4 |
| incredible | 4 |
| industry | 4 |
| inflation | 4 |
| inform | 4 |
| intense | 4 |
| investing | 4 |
| investors | 4 |
| ipl | 4 |
| irreplaceable | 4 |
| item | 4 |
| jamesontucnak | 4 |
| joined | 4 |
| judge | 4 |
| justify | 4 |
| kairiki | 4 |
| kate | 4 |
| khan | 4 |
| killing | 4 |
| kim | 4 |
| kindness | 4 |
| kings | 4 |
| kitchen | 4 |
| kitty | 4 |
| knitted | 4 |
| kthtaetae_bear_ | 4 |
| laid | 4 |
| land | 4 |
| largest | 4 |
| launchzone | 4 |
| laying | 4 |
| leg | 4 |
| legalization | 4 |
| legit | 4 |
| lesbian | 4 |
| lift | 4 |
| lock | 4 |
| loud | 4 |
| lover | 4 |
| lulu_bear | 4 |
| main | 4 |
| manage | 4 |
| management | 4 |
| manishk19303058 | 4 |
| mann | 4 |
| manner | 4 |
| manners | 4 |
| map | 4 |
| marijuana | 4 |
| mark | 4 |
| martiniguyyt | 4 |
| match | 4 |
| materials | 4 |
| mcd | 4 |
| mcdonald | 4 |
| mcdonalds | 4 |
| meets | 4 |
| memories | 4 |
| mentally | 4 |
| messi | 4 |
| mini | 4 |
| misty | 4 |
| model | 4 |
| moms | 4 |
| mortal | 4 |
| mosthated_bear | 4 |
| mother’s | 4 |
| mothersday | 4 |
| movement | 4 |
| musikmenfess | 4 |
| mv | 4 |
| nahi | 4 |
| naked | 4 |
| nasty | 4 |
| nateinthewild | 4 |
| nations | 4 |
| negative | 4 |
| neighborhood | 4 |
| nft | 4 |
| nigeria | 4 |
| nominated | 4 |
| notary | 4 |
| notes | 4 |
| o2 | 4 |
| octopus | 4 |
| office | 4 |
| official | 4 |
| omarabdullah | 4 |
| oomfs | 4 |
| opportunities | 4 |
| options | 4 |
| outfit | 4 |
| outs | 4 |
| owners | 4 |
| ownership | 4 |
| pacific | 4 |
| paddington | 4 |
| painful | 4 |
| paper | 4 |
| parties | 4 |
| paw | 4 |
| pelosi | 4 |
| peloton | 4 |
| period | 4 |
| periods | 4 |
| petewilliamsnbc | 4 |
| picked | 4 |
| picking | 4 |
| piece | 4 |
| pig | 4 |
| pin | 4 |
| pitch | 4 |
| pixie | 4 |
| plain | 4 |
| plane | 4 |
| plants | 4 |
| plasma | 4 |
| plastic | 4 |
| platypus | 4 |
| plebs | 4 |
| poc | 4 |
| poked | 4 |
| pose | 4 |
| possibly | 4 |
| postponing | 4 |
| potus | 4 |
| powerful | 4 |
| preorder | 4 |
| prepare | 4 |
| privilege | 4 |
| production | 4 |
| progress | 4 |
| property | 4 |
| pt | 4 |
| pton | 4 |
| published | 4 |
| push | 4 |
| racist | 4 |
| raising | 4 |
| rallies | 4 |
| ram | 4 |
| range | 4 |
| rare | 4 |
| rat | 4 |
| ratings | 4 |
| reached | 4 |
| reads | 4 |
| reap | 4 |
| received | 4 |
| records | 4 |
| reflect | 4 |
| refund | 4 |
| regime | 4 |
| relationship | 4 |
| remdesivir | 4 |
| rent | 4 |
| reported | 4 |
| republicans | 4 |
| requirement | 4 |
| resolve | 4 |
| resolved | 4 |
| restaurant | 4 |
| restrictions | 4 |
| retr0rainb0w | 4 |
| retweet | 4 |
| reuters | 4 |
| reveal | 4 |
| rewards | 4 |
| ridge | 4 |
| ridiculous | 4 |
| robux | 4 |
| role | 4 |
| roll | 4 |
| rolls | 4 |
| rs | 4 |
| rude | 4 |
| ruled | 4 |
| russian | 4 |
| sa | 4 |
| salad | 4 |
| sam | 4 |
| sammysquatch22 | 4 |
| sarahayatshah | 4 |
| sassy_jendeukie | 4 |
| savagejaykay | 4 |
| saving | 4 |
| schedule | 4 |
| schroederasko | 4 |
| sea | 4 |
| search | 4 |
| shape | 4 |
| ship | 4 |
| shoot | 4 |
| shooting | 4 |
| shortage | 4 |
| shorts | 4 |
| shower | 4 |
| shy | 4 |
| sight | 4 |
| sins | 4 |
| site | 4 |
| slept | 4 |
| smell | 4 |
| smh | 4 |
| snowl | 4 |
| snuggle | 4 |
| society | 4 |
| soldiers | 4 |
| solve | 4 |
| souls | 4 |
| spare | 4 |
| species | 4 |
| specific | 4 |
| spotify | 4 |
| srivatsayb | 4 |
| stage | 4 |
| stance | 4 |
| staring | 4 |
| stats | 4 |
| stearns | 4 |
| step | 4 |
| stocks | 4 |
| strapped | 4 |
| street | 4 |
| stress | 4 |
| strongest | 4 |
| stuck | 4 |
| studies | 4 |
| suggestion | 4 |
| suits | 4 |
| sunday | 4 |
| sunny | 4 |
| sunset | 4 |
| supported | 4 |
| surprising | 4 |
| swan | 4 |
| sweetest | 4 |
| table | 4 |
| talented | 4 |
| talked | 4 |
| tape | 4 |
| taught | 4 |
| tbh | 4 |
| teachers | 4 |
| teams | 4 |
| technically | 4 |
| teddybear | 4 |
| tempted | 4 |
| testing | 4 |
| theajayrajverma | 4 |
| thee | 4 |
| thenotoriousmma | 4 |
| thousands | 4 |
| thu | 4 |
| thx | 4 |
| thy | 4 |
| ticket | 4 |
| tl | 4 |
| torture | 4 |
| tour | 4 |
| traders | 4 |
| traps | 4 |
| trex | 4 |
| tunnel | 4 |
| turkey | 4 |
| twt | 4 |
| types | 4 |
| u.s | 4 |
| ugly | 4 |
| umm | 4 |
| unique | 4 |
| unlimited | 4 |
| unnie | 4 |
| untold | 4 |
| useless | 4 |
| verify | 4 |
| victims | 4 |
| virus | 4 |
| vishaldadlani | 4 |
| votewitharmy | 4 |
| vp | 4 |
| waited | 4 |
| walked | 4 |
| waste | 4 |
| wears | 4 |
| west | 4 |
| western | 4 |
| whatsoever | 4 |
| wintae_bear | 4 |
| wise | 4 |
| worried | 4 |
| xd | 4 |
| yr | 4 |
| yung | 4 |
| yup | 4 |
| yupi | 4 |
| _gichang | 3 |
| <U+0E2D><U+0E23><U+0E4C> | 3 |
| <U+1D48><U+1D43><U+02B8> | 3 |
| <U+AE40><U+D0DC><U+D615> | 3 |
| <U+C788><U+C9C0> | 3 |
| 1000 | 3 |
| 13.900 | 3 |
| 16 | 3 |
| 19th | 3 |
| 1r | 3 |
| 200 | 3 |
| 2002 | 3 |
| 2008 | 3 |
| 2009 | 3 |
| 2010 | 3 |
| 2019 | 3 |
| 24th | 3 |
| 26th | 3 |
| 300 | 3 |
| 3d | 3 |
| 42 | 3 |
| 45 | 3 |
| 47k | 3 |
| 53 | 3 |
| 81 | 3 |
| 86 | 3 |
| 89 | 3 |
| aa | 3 |
| aapl | 3 |
| abiding | 3 |
| abyss | 3 |
| acc | 3 |
| accessories | 3 |
| achieve | 3 |
| acts | 3 |
| adam | 3 |
| additional | 3 |
| adesertson | 3 |
| adopt | 3 |
| adoptmegiveaways | 3 |
| adoptmepets | 3 |
| adoptmetradings | 3 |
| adored | 3 |
| aespa | 3 |
| aespa_forever21 | 3 |
| affection | 3 |
| albajos | 3 |
| albino | 3 |
| alert | 3 |
| alive | 3 |
| allen | 3 |
| allocation | 3 |
| alpha | 3 |
| alr | 3 |
| altcoins | 3 |
| altnewshindi | 3 |
| amigurumi | 3 |
| anandableanand | 3 |
| anbessa100 | 3 |
| andrenaleen | 3 |
| anger | 3 |
| ani | 3 |
| animation | 3 |
| ano | 3 |
| anonymous | 3 |
| answered | 3 |
| answering | 3 |
| anyone’s | 3 |
| apa | 3 |
| apompliano | 3 |
| appearance | 3 |
| apply | 3 |
| araw | 3 |
| arianedevogue | 3 |
| articles | 3 |
| artisan | 3 |
| arya | 3 |
| ashokgehlot51 | 3 |
| assault | 3 |
| assertive | 3 |
| asset | 3 |
| assure | 3 |
| athlete | 3 |
| atikingames | 3 |
| attacks | 3 |
| aubrey | 3 |
| audible | 3 |
| auto | 3 |
| axis | 3 |
| aye | 3 |
| babie | 3 |
| babies | 3 |
| babyfaceug | 3 |
| babyshower | 3 |
| badly | 3 |
| bagh | 3 |
| bait | 3 |
| baker | 3 |
| bananaheaded | 3 |
| bang_a_bear | 3 |
| banking | 3 |
| barely | 3 |
| bark | 3 |
| bashing | 3 |
| baskets | 3 |
| bawdygames | 3 |
| bb | 3 |
| bearfishpie | 3 |
| beevyj | 3 |
| beginning | 3 |
| believing | 3 |
| beomjunies_bear | 3 |
| bernard | 3 |
| bf | 3 |
| bhatiamanu | 3 |
| bias | 3 |
| billkristol | 3 |
| biological | 3 |
| birds | 3 |
| biscuit | 3 |
| bjym | 3 |
| blah | 3 |
| blaming | 3 |
| bless | 3 |
| blm | 3 |
| blockchain | 3 |
| blocking | 3 |
| blossom | 3 |
| blowing | 3 |
| bonillajl | 3 |
| boozinbruin | 3 |
| bored | 3 |
| boris | 3 |
| bother | 3 |
| bout | 3 |
| breathe | 3 |
| briebriejoy | 3 |
| bright | 3 |
| brilliant | 3 |
| bristol | 3 |
| broad | 3 |
| broke | 3 |
| bscbear | 3 |
| bscx_space | 3 |
| bts__twtzw | 3 |
| bu | 3 |
| buck | 3 |
| buddy | 3 |
| bug | 3 |
| bulletinatomic | 3 |
| bullshit | 3 |
| bump | 3 |
| buys | 3 |
| cabin | 3 |
| cafe | 3 |
| cakes | 3 |
| california | 3 |
| camera | 3 |
| camp | 3 |
| campaign | 3 |
| cancelled | 3 |
| cannabis | 3 |
| casiano | 3 |
| cast | 3 |
| category | 3 |
| caught | 3 |
| causing | 3 |
| cb | 3 |
| cbd | 3 |
| cc | 3 |
| ccp | 3 |
| celebrities | 3 |
| cells | 3 |
| centgovt | 3 |
| ceramic | 3 |
| chair | 3 |
| championship | 3 |
| chapter | 3 |
| charges | 3 |
| cheat | 3 |
| checkers | 3 |
| checks | 3 |
| chernobyl | 3 |
| chicago | 3 |
| chicagobears | 3 |
| chill | 3 |
| china | 3 |
| chose | 3 |
| chrisosbakk | 3 |
| christian | 3 |
| circumstances | 3 |
| civil | 3 |
| claims | 3 |
| classes | 3 |
| claws | 3 |
| clever | 3 |
| closer | 3 |
| closest | 3 |
| closing | 3 |
| clueless | 3 |
| cm | 3 |
| cnnbrk | 3 |
| cocaine | 3 |
| collab | 3 |
| collectible | 3 |
| colonial | 3 |
| color | 3 |
| colored | 3 |
| colossians | 3 |
| colours | 3 |
| commentary | 3 |
| commission | 3 |
| commitment | 3 |
| compassion | 3 |
| complicated | 3 |
| compromise | 3 |
| conceal | 3 |
| concerned | 3 |
| confusing | 3 |
| consistently | 3 |
| conspiracy | 3 |
| constant | 3 |
| contacted | 3 |
| contribution | 3 |
| cops | 3 |
| corinthians | 3 |
| correctly | 3 |
| countdown | 3 |
| counts | 3 |
| courts | 3 |
| covering | 3 |
| cr | 3 |
| crew | 3 |
| crews | 3 |
| crime | 3 |
| criminal | 3 |
| crisis | 3 |
| crissysummers40 | 3 |
| critical | 3 |
| criticism | 3 |
| cryptomichnl | 3 |
| cuddling | 3 |
| cultural | 3 |
| culture | 3 |
| cup | 3 |
| curry | 3 |
| cursed | 3 |
| cus | 3 |
| customers | 3 |
| cylinders | 3 |
| damage | 3 |
| danger | 3 |
| dannyt_ug | 3 |
| dark | 3 |
| darrenhamill16 | 3 |
| database | 3 |
| david | 3 |
| davidgokhshtein | 3 |
| debblexy12427 | 3 |
| debut | 3 |
| december | 3 |
| defend | 3 |
| defending | 3 |
| defi | 3 |
| delayed | 3 |
| delighted | 3 |
| department | 3 |
| designed | 3 |
| desk | 3 |
| desperate | 3 |
| destroy | 3 |
| detail | 3 |
| devastating | 3 |
| dick | 3 |
| didnt | 3 |
| direction | 3 |
| dirty | 3 |
| disappointment | 3 |
| disnae | 3 |
| dissent | 3 |
| distilled | 3 |
| divergence | 3 |
| doctor | 3 |
| documents | 3 |
| dod | 3 |
| dogecoinrise | 3 |
| dogecoinrisenow | 3 |
| doggie | 3 |
| dollars | 3 |
| dost | 3 |
| download | 3 |
| draft | 3 |
| drdave91 | 3 |
| drew | 3 |
| drinks | 3 |
| driven | 3 |
| drkafeelkhan | 3 |
| drops | 3 |
| drunken | 3 |
| dudes | 3 |
| dumps | 3 |
| dumptrucktony | 3 |
| duration | 3 |
| earning | 3 |
| earnings | 3 |
| easily | 3 |
| ed | 3 |
| edition | 3 |
| edits | 3 |
| effect | 3 |
| efforts | 3 |
| ego | 3 |
| eh | 3 |
| elected | 3 |
| election | 3 |
| ellieandedmond | 3 |
| emmersestudios | 3 |
| employees | 3 |
| enjoying | 3 |
| entities | 3 |
| entitled | 3 |
| episodes | 3 |
| equal | 3 |
| equipped | 3 |
| essential | 3 |
| eternal | 3 |
| ethereum | 3 |
| events | 3 |
| everytime | 3 |
| examples | 3 |
| expansion | 3 |
| expectations | 3 |
| expenses | 3 |
| expert | 3 |
| explode | 3 |
| extra | 3 |
| f4irykth | 3 |
| famous | 3 |
| fanart | 3 |
| fandom | 3 |
| faridabad | 3 |
| farmers | 3 |
| feed | 3 |
| feelin | 3 |
| fees | 3 |
| female | 3 |
| field | 3 |
| fig | 3 |
| films | 3 |
| filter | 3 |
| firearm | 3 |
| fishing | 3 |
| flakshelene | 3 |
| flare_bear_ | 3 |
| flat | 3 |
| flights | 3 |
| foods | 3 |
| fools | 3 |
| formation | 3 |
| fought | 3 |
| fox13news | 3 |
| frankkane11 | 3 |
| freddy | 3 |
| frequency | 3 |
| friend’s | 3 |
| fsr | 3 |
| ft | 3 |
| fundamentals | 3 |
| furryart | 3 |
| futures | 3 |
| ga | 3 |
| gailsimone | 3 |
| gaming | 3 |
| gandhi | 3 |
| gang | 3 |
| gaurav | 3 |
| genuine | 3 |
| george | 3 |
| germs | 3 |
| gif | 3 |
| ginger | 3 |
| ginsoakedgal | 3 |
| glass | 3 |
| grew | 3 |
| grinch21188235 | 3 |
| guarantee | 3 |
| guards | 3 |
| guesswho_mvteaser1 | 3 |
| ha | 3 |
| habit | 3 |
| habits | 3 |
| hahah | 3 |
| hahahaha | 3 |
| hall | 3 |
| ham | 3 |
| hammer | 3 |
| harder | 3 |
| hated | 3 |
| hath | 3 |
| he’ll | 3 |
| heading | 3 |
| hearing | 3 |
| heat | 3 |
| held | 3 |
| helpful | 3 |
| helps | 3 |
| hint | 3 |
| historical | 3 |
| hm | 3 |
| hmm | 3 |
| homemade | 3 |
| hopes | 3 |
| host | 3 |
| hotel | 3 |
| houses | 3 |
| hrm_lfb_rob | 3 |
| hubby | 3 |
| humanity | 3 |
| hurts | 3 |
| identify | 3 |
| ideologies | 3 |
| idiots | 3 |
| idol | 3 |
| illegal | 3 |
| illustration | 3 |
| ima | 3 |
| imagervet | 3 |
| improve | 3 |
| incindia | 3 |
| include | 3 |
| increases | 3 |
| index | 3 |
| indiedev | 3 |
| inevitable | 3 |
| inflicted | 3 |
| initial | 3 |
| ink | 3 |
| innocent | 3 |
| instructions | 3 |
| intended | 3 |
| intent | 3 |
| interact | 3 |
| interaction | 3 |
| internships | 3 |
| interview | 3 |
| invisible | 3 |
| iowa_bear | 3 |
| ireneeeeee | 3 |
| irl | 3 |
| irrelevant | 3 |
| isa | 3 |
| israel | 3 |
| it’ll | 3 |
| items | 3 |
| jacket | 3 |
| jackposobiec | 3 |
| jackson_pope | 3 |
| james | 3 |
| jannu | 3 |
| january | 3 |
| jasluvpandas | 3 |
| jatin10 | 3 |
| jay | 3 |
| jerrirex19711 | 3 |
| jersey | 3 |
| jet | 3 |
| jew | 3 |
| jewelry | 3 |
| jobs | 3 |
| joe | 3 |
| joepompliano | 3 |
| johnmarlin_msft | 3 |
| jordan | 3 |
| jose_bear | 3 |
| journalist | 3 |
| journey | 3 |
| judiciary | 3 |
| jungle | 3 |
| justin | 3 |
| kandi | 3 |
| kanoiaditya | 3 |
| kar | 3 |
| kawaii | 3 |
| kevin | 3 |
| keychain | 3 |
| kick | 3 |
| kidding | 3 |
| kirbyscouch | 3 |
| kit | 3 |
| kno | 3 |
| knowing | 3 |
| knowledge | 3 |
| kombat | 3 |
| kr | 3 |
| kunalkamra88 | 3 |
| lambaalka | 3 |
| landscape | 3 |
| language | 3 |
| larger | 3 |
| laurabongiovan9 | 3 |
| lazy | 3 |
| lb | 3 |
| learnt | 3 |
| led | 3 |
| legend | 3 |
| letter | 3 |
| lgbt | 3 |
| liberty | 3 |
| lifestyle | 3 |
| lilbardivert | 3 |
| lips | 3 |
| lisa | 3 |
| listing | 3 |
| llama | 3 |
| lo | 3 |
| locations | 3 |
| lockdown | 3 |
| logan | 3 |
| logged | 3 |
| logical | 3 |
| lolrakshak | 3 |
| lols | 3 |
| lombeluke | 3 |
| london | 3 |
| lookgoodgamer | 3 |
| loses | 3 |
| luther | 3 |
| m15 | 3 |
| ma’am | 3 |
| madison | 3 |
| magical | 3 |
| maharashtra | 3 |
| mall | 3 |
| manager | 3 |
| manakgupta | 3 |
| mantequilla | 3 |
| margin | 3 |
| married | 3 |
| martin | 3 |
| marxist | 3 |
| marypcbuk | 3 |
| masha | 3 |
| massive | 3 |
| mat | 3 |
| matching | 3 |
| mate | 3 |
| mates | 3 |
| math | 3 |
| matters | 3 |
| mauled | 3 |
| mcdonald’s | 3 |
| meeting | 3 |
| melissajenmrsdd | 3 |
| mentioning | 3 |
| mercy | 3 |
| mermaids | 3 |
| mess | 3 |
| mf | 3 |
| michael | 3 |
| michaelrosenyes | 3 |
| mikey__bear | 3 |
| mikrokosmos | 3 |
| mile | 3 |
| milky | 3 |
| mindlessness | 3 |
| minds | 3 |
| minimal | 3 |
| mining | 3 |
| minister | 3 |
| minminarmy2010 | 3 |
| minor | 3 |
| minorities | 3 |
| minority | 3 |
| mins | 3 |
| mistake | 3 |
| mistakes | 3 |
| misunderstood | 3 |
| mitchelltbell | 3 |
| mobile | 3 |
| mode | 3 |
| moderate | 3 |
| moments | 3 |
| monster | 3 |
| mood | 3 |
| moots | 3 |
| moral | 3 |
| mouth | 3 |
| moved | 3 |
| mrbearandrocky | 3 |
| munconvo | 3 |
| myogiadityanath | 3 |
| nasapersevere | 3 |
| nationalism | 3 |
| native | 3 |
| naughty | 3 |
| ncr | 3 |
| nctsmtown_dream | 3 |
| ncweaver | 3 |
| nda | 3 |
| ne | 3 |
| nebuliser | 3 |
| neck | 3 |
| necklace | 3 |
| neglect | 3 |
| neighbor | 3 |
| network | 3 |
| nevada | 3 |
| nfldraft | 3 |
| ngl | 3 |
| nh | 3 |
| ni | 3 |
| nibburra | 3 |
| nick | 3 |
| nigerian | 3 |
| nini | 3 |
| noise | 3 |
| noises | 3 |
| nomination | 3 |
| nona_jjunie | 3 |
| nookie | 3 |
| noose | 3 |
| nope | 3 |
| nosedive | 3 |
| notalwin01 | 3 |
| november | 3 |
| nsfw | 3 |
| nty | 3 |
| nuetraldelta | 3 |
| nurse | 3 |
| nutrition | 3 |
| nya | 3 |
| nycsouthpaw | 3 |
| o’clock | 3 |
| obsessed | 3 |
| obsession | 3 |
| obtain | 3 |
| occasional | 3 |
| october | 3 |
| odd | 3 |
| odds | 3 |
| odia | 3 |
| offers | 3 |
| officer | 3 |
| omfg | 3 |
| one’s | 3 |
| onesie | 3 |
| ongoing | 3 |
| op | 3 |
| operative | 3 |
| opinions | 3 |
| opportunity | 3 |
| opposite | 3 |
| oppression | 3 |
| oreo | 3 |
| outcome | 3 |
| outsider | 3 |
| owe | 3 |
| pajama | 3 |
| palm | 3 |
| pammcelravy | 3 |
| parent | 3 |
| pastor | 3 |
| pat | 3 |
| patiently | 3 |
| patstaresat | 3 |
| pause | 3 |
| pen | 3 |
| penny | 3 |
| pepper | 3 |
| persistent | 3 |
| personalised | 3 |
| perspective | 3 |
| peterstefanovi2 | 3 |
| pfp | 3 |
| ph | 3 |
| piss | 3 |
| pistol | 3 |
| pit | 3 |
| planned | 3 |
| players | 3 |
| playful | 3 |
| 3 | |
| podcast | 3 |
| polar_bear_edit | 3 |
| polish | 3 |
| politicians | 3 |
| politics | 3 |
| poo | 3 |
| pool | 3 |
| population | 3 |
| porn | 3 |
| portsmouth | 3 |
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| pretext | 3 |
| prey | 3 |
| prezelectkq1776 | 3 |
| 3 | |
| printing | 3 |
| prison | 3 |
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| pro | 3 |
| problematic | 3 |
| professor | 3 |
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| providing | 3 |
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| quran | 3 |
| raffle | 3 |
| rain | 3 |
| rainbow | 3 |
| rajcmo | 3 |
| rally | 3 |
| rbm | 3 |
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| react | 3 |
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| gains | 2 |
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| gen | 2 |
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| gods | 2 |
| goodbye | 2 |
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| goodness | 2 |
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| governments | 2 |
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| guidelines | 2 |
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| har | 2 |
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| hes | 2 |
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| household | 2 |
| hr | 2 |
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| hunters | 2 |
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| hyung | 2 |
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| i_bigelow | 2 |
| iabhijeetgupta | 2 |
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| ian | 2 |
| ideas42 | 2 |
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| ik | 2 |
| illness | 2 |
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| imagummybear | 2 |
| immak02 | 2 |
| immense | 2 |
| immersed_in_luv | 2 |
| immortal | 2 |
| immune | 2 |
| impact | 2 |
| implement | 2 |
| implications | 2 |
| impression | 2 |
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| included | 2 |
| inclusive | 2 |
| incredibly | 2 |
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| industrial | 2 |
| infant | 2 |
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| isaaccl92780269 | 2 |
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| issued | 2 |
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| iyc | 2 |
| iz | 2 |
| j0hncartermd | 2 |
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| jamie | 2 |
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| jc | 2 |
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| jo | 2 |
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| jupiter | 2 |
| justasking | 2 |
| justified | 2 |
| justintrudeau | 2 |
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| jwaehyungiee | 2 |
| jzgomezz | 2 |
| k4dxa7utsw | 2 |
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| kapamilya | 2 |
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| karaoke | 2 |
| karma | 2 |
| karnataka | 2 |
| karo | 2 |
| kashjtwitss | 2 |
| kate__bear | 2 |
| kau | 2 |
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| keemstar | 2 |
| keepers | 2 |
| kenny | 2 |
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| kin | 2 |
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| kink | 2 |
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| knife | 2 |
| knock | 2 |
| konekokittenyt | 2 |
| kong | 2 |
| kramer | 2 |
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| kudlow | 2 |
| kurnool | 2 |
| kuz | 2 |
| kya | 2 |
| kyle | 2 |
| l0v3tiera | 2 |
| laga | 2 |
| lagos | 2 |
| lakeshell216 | 2 |
| lang | 2 |
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| larios | 2 |
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| las | 2 |
| laser | 2 |
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| lbc | 2 |
| le | 2 |
| leak | 2 |
| learns | 2 |
| leash | 2 |
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| leaving | 2 |
| leftist | 2 |
| leftists | 2 |
| legacy | 2 |
| legendary | 2 |
| legends | 2 |
| legs | 2 |
| lengthy | 2 |
| lesbianvisibilityday | 2 |
| lessons | 2 |
| leverage | 2 |
| lf | 2 |
| lia | 2 |
| liar | 2 |
| libs | 2 |
| libtardskadoc | 2 |
| licensing | 2 |
| lick | 2 |
| lifetime | 2 |
| lilmoonlambo | 2 |
| limits | 2 |
| lines | 2 |
| linked | 2 |
| listened | 2 |
| lit | 2 |
| literacy | 2 |
| literal | 2 |
| lkpj5cgncj | 2 |
| lmfao | 2 |
| loads | 2 |
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| lod | 2 |
| log | 2 |
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| logo | 2 |
| lomls | 2 |
| loool | 2 |
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| loulou | 2 |
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| lowest | 2 |
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| lucknow | 2 |
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| lukas117_ | 2 |
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| lvls | 2 |
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| maintain | 2 |
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| male | 2 |
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| march | 2 |
| marching | 2 |
| margarine | 2 |
| marginal | 2 |
| marine | 2 |
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| massage | 2 |
| master | 2 |
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| meaningful | 2 |
| mechanism | 2 |
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| mega | 2 |
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| melted | 2 |
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| mentions | 2 |
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| methods | 2 |
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| mi | 2 |
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| mic | 2 |
| micaell3kacete | 2 |
| michael_saylor | 2 |
| midline | 2 |
| migraine | 2 |
| milan | 2 |
| milk | 2 |
| miller | 2 |
| minding | 2 |
| minimum | 2 |
| minnesota | 2 |
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| mizorton29 | 2 |
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| monthly | 2 |
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| mornings | 2 |
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| moustaches | 2 |
| moves | 2 |
| movies | 2 |
| ms | 2 |
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| mtgreenee | 2 |
| mtv | 2 |
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| muh | 2 |
| muhammad | 2 |
| mukti_alin | 2 |
| muscle | 2 |
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| muslim | 2 |
| muslims | 2 |
| mutant | 2 |
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| n1ksterrr | 2 |
| nabiyakhan11 | 2 |
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| nap | 2 |
| narrative | 2 |
| narsinghanand | 2 |
| nationalists | 2 |
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| naw | 2 |
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| nbc | 2 |
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| negativity | 2 |
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| negotiations | 2 |
| neighborhoods | 2 |
| neilpezz | 2 |
| nendoroid | 2 |
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| net | 2 |
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| newcarimbo | 2 |
| newsletter | 2 |
| nextdoor | 2 |
| nezedia | 2 |
| nfl | 2 |
| nfts | 2 |
| nhi | 2 |
| nhs | 2 |
| nicki | 2 |
| nickname | 2 |
| nicksonrono18 | 2 |
| nicky_428 | 2 |
| nicu | 2 |
| niece | 2 |
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| nifty | 2 |
| nightlife | 2 |
| nights | 2 |
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| nivivacious | 2 |
| njbearsfan | 2 |
| nlf | 2 |
| nng | 2 |
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| nong | 2 |
| nonsense | 2 |
| nonstop | 2 |
| norahnell | 2 |
| norm | 2 |
| normalize | 2 |
| northern | 2 |
| nose | 2 |
| noticemeshizuns | 2 |
| notpannchoa | 2 |
| nova | 2 |
| nsuspenso | 2 |
| numb_skull | 2 |
| numerous | 2 |
| nursing | 2 |
| nytimes | 2 |
| nzdusd | 2 |
| o_via_bear | 2 |
| oath | 2 |
| obama | 2 |
| objects | 2 |
| obvious | 2 |
| occasionally | 2 |
| ofc | 2 |
| offended | 2 |
| og | 2 |
| oga | 2 |
| oharamal | 2 |
| ohh | 2 |
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| ohio | 2 |
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| oilers | 2 |
| okke | 2 |
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| onesies | 2 |
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| oops | 2 |
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| ops | 2 |
| ordinary | 2 |
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| oval | 2 |
| overriding | 2 |
| overturned | 2 |
| overwhelmed | 2 |
| ovulating | 2 |
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| owes | 2 |
| owner | 2 |
| owning | 2 |
| oxenbury | 2 |
| oxy | 2 |
| ozthegoatguy | 2 |
| p0larb3ar_tobi | 2 |
| p500 | 2 |
| pacifist | 2 |
| packet | 2 |
| packing | 2 |
| pages | 2 |
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| palala | 2 |
| pandora | 2 |
| pant | 2 |
| panther | 2 |
| pants | 2 |
| paperclip | 2 |
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| para | 2 |
| parenting | 2 |
| parking | 2 |
| parsons | 2 |
| partial | 2 |
| partially | 2 |
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| password | 2 |
| pastorxbox | 2 |
| patcummins30 | 2 |
| patel | 2 |
| path | 2 |
| patparganj | 2 |
| patreon | 2 |
| patriot | 2 |
| patrol | 2 |
| pavm | 2 |
| paws | 2 |
| payments | 2 |
| pd | 2 |
| pe | 2 |
| peaceful | 2 |
| peach | 2 |
| peakbengaluru | 2 |
| peaks | 2 |
| peanut | 2 |
| pear | 2 |
| peddling | 2 |
| peer | 2 |
| pencil | 2 |
| penguin | 2 |
| penis | 2 |
| penn | 2 |
| people’s | 2 |
| perceive | 2 |
| percent | 2 |
| perfectly | 2 |
| performances | 2 |
| performed | 2 |
| perma | 2 |
| permanently | 2 |
| permit | 2 |
| perrymartini007 | 2 |
| personality | 2 |
| petrol | 2 |
| photography | 2 |
| phrase | 2 |
| physical | 2 |
| physio | 2 |
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| piglet | 2 |
| pile | 2 |
| pillow | 2 |
| pilot | 2 |
| pinkysi40475597 | 2 |
| piper | 2 |
| plains | 2 |
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| plug | 2 |
| plushie | 2 |
| plushies | 2 |
| poconoraceway | 2 |
| poem | 2 |
| poet | 2 |
| poetry | 2 |
| pointlessisland | 2 |
| pokemon | 2 |
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| policies | 2 |
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| pollution | 2 |
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| pop | 2 |
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| portal | 2 |
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| powers | 2 |
| ppatroller69 | 2 |
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| princess_n_bear | 2 |
| prints | 2 |
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| proposed | 2 |
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| protests | 2 |
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| provided | 2 |
| psoriasis | 2 |
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| pullback | 2 |
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| pulling | 2 |
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| pun | 2 |
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| purchasing | 2 |
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| qomwbvdaas | 2 |
| quanxesbian | 2 |
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| ra | 2 |
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| raksharamaiah | 2 |
| ramumalashree | 2 |
| ranaayyub | 2 |
| rant | 2 |
| rasheed | 2 |
| rashtrapatibhvn | 2 |
| rastaak47 | 2 |
| ratified | 2 |
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| realgunlobbyist | 2 |
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| reasonable | 2 |
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| referred | 2 |
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| reflects | 2 |
| reform | 2 |
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| refugees | 2 |
| refused | 2 |
| regression | 2 |
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| regularly | 2 |
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| repmaxinewaters | 2 |
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| rggstudio | 2 |
| rha | 2 |
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| rp | 2 |
| rpd_bear | 2 |
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| shittiest | 1 |
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We can see some words which relate to links, such as “https”, “t.co”. and “amp”.
CleanBear <- CleanBear %>%
anti_join(stop_words, by = c("word" = "word")) %>%
filter(word != "t.co") %>%
filter(word != "https") %>%
filter(word != "amp")Positive vs Negative
I always find it really interesting to look at the positive and negative words being used in the discussion around our search term.
When we’re doing text analysis, we rely on dictionaries which are essentially a list of words with a score next to them. The way they’re scored varies by dictionary, for example the Bing dictionary is just “positive” or "negative. Other dictionaries have a numerical value, and some may look at different kind of emotions.
Warning: spicy language coming up
library(wordcloud)
library(reshape2)
PosVsNeg <- CleanBear %>%
inner_join(get_sentiments("bing")) %>%
count(word, sentiment, sort = TRUE) %>%
acast(word ~ sentiment, value.var = "n", fill = 0) %>%
comparison.cloud(max.words = 100, scale=c(3.5,0.50))
A couple of days before I grabbed this data, a guide was injured and died following an incident with a grizzly bear in Yellowstone National Park, so we can see some words on the negative side of the plot which relate to that. We also see the word ‘wild’ showing up on the negative side and it raises an interesting point about sentiment dictionaries.
A sentiment dictionary is coded by people, who decide if a word is positive or negative. In this dictionary ‘wild’ has been classed as a negative word and maybe it is in some instance, but when we’re looking at wild animals, it’s not. I don’t plan on using the Bing dictionary further in this analysis but we will recode another dictionary later on where “wild” once again appears as a negative word.
On the positive side we can see some words that make sense, such as “love”, “protect”, and “cute”. We can see words that we might not associate with the animal bears on both sides, which tells us that people are not just using the word ‘bear’ to talk about the animals.
Emotions in grizzly bear tweets
As well as looking at positive or negative words, we can use the NRC dictionary to look at which emotions are associated with tweets about bears.
library(syuzhet)
NRCDics <- get_sentiments("nrc")
EmoBear <- CleanBear %>%
inner_join(NRCDics) %>%
count(word, sentiment, sort = TRUE)
ggplot(EmoBear, aes(sentiment, n)) +
geom_bar(aes(fill = sentiment), stat = "identity", show.legend = FALSE) +
labs(x = "Emotion & sentiment", y = "Scores", title = "Emotion in 'bear' tweets")
Fear is by far the most dominating emotion in our tweets. It’s not a huge surprise because bears are a polarising species, especially when there’s been a human-wildlife conflict incident in the news recently. Anger is also showing up as a common emotion. It’s not all bad news, though some tweets are positive or are associated with trust. Let’s dive a little deeper into the fear emotion.
NRCFear <- get_sentiments("nrc") %>%
filter(sentiment == "fear")
FearWords <- CleanBear %>%
inner_join(NRCFear) %>%
count(word, sort = TRUE)
FearWords %>%
kable(align = "c") %>%
kable_styling(bootstrap_options = c("striped", "condensed","responsive", "bordered")) %>%
row_spec(0, color = "white", align = "c")%>%
add_header_above(c("Words associated with fear in tweets about bears"= 2), bold = TRUE) %>%
scroll_box(width = "500px", height = "400px") | word | n |
|---|---|
| bear | 3839 |
| god | 101 |
| loss | 68 |
| militia | 52 |
| gun | 45 |
| watch | 44 |
| bad | 42 |
| birth | 41 |
| government | 39 |
| soulmate | 38 |
| grizzly | 33 |
| court | 30 |
| pain | 29 |
| police | 29 |
| hate | 25 |
| fight | 23 |
| change | 21 |
| death | 20 |
| cross | 19 |
| die | 17 |
| shot | 16 |
| war | 16 |
| kill | 15 |
| lose | 15 |
| attack | 14 |
| crazy | 14 |
| feeling | 14 |
| hell | 14 |
| hospital | 13 |
| pandemic | 13 |
| fire | 12 |
| hide | 12 |
| terrible | 12 |
| delay | 11 |
| hurt | 11 |
| mug | 11 |
| worry | 11 |
| defense | 10 |
| difficult | 10 |
| evil | 10 |
| ghost | 10 |
| lion | 10 |
| mad | 10 |
| panic | 10 |
| risk | 10 |
| urgent | 10 |
| bee | 9 |
| crash | 9 |
| dragon | 9 |
| hunting | 9 |
| ill | 9 |
| pray | 9 |
| shame | 9 |
| suffering | 9 |
| violence | 9 |
| avoid | 8 |
| giant | 8 |
| hatred | 8 |
| medical | 8 |
| murder | 8 |
| broken | 7 |
| cash | 7 |
| dangerous | 7 |
| fury | 7 |
| graduation | 7 |
| irreparable | 7 |
| military | 7 |
| mum | 7 |
| worse | 7 |
| abuse | 6 |
| chicken | 6 |
| concealed | 6 |
| doubt | 6 |
| dying | 6 |
| fear | 6 |
| forced | 6 |
| guard | 6 |
| missing | 6 |
| sentence | 6 |
| surprise | 6 |
| weight | 6 |
| advance | 5 |
| afraid | 5 |
| armed | 5 |
| awful | 5 |
| bearish | 5 |
| beast | 5 |
| cancer | 5 |
| challenge | 5 |
| escape | 5 |
| failure | 5 |
| force | 5 |
| hanging | 5 |
| insane | 5 |
| prevent | 5 |
| rape | 5 |
| remove | 5 |
| scare | 5 |
| victim | 5 |
| violent | 5 |
| accused | 4 |
| anxiety | 4 |
| beating | 4 |
| bitch | 4 |
| bloody | 4 |
| claw | 4 |
| cop | 4 |
| cringe | 4 |
| crocodile | 4 |
| cutting | 4 |
| demon | 4 |
| devil | 4 |
| harm | 4 |
| horrible | 4 |
| inflation | 4 |
| intense | 4 |
| khan | 4 |
| killing | 4 |
| nasty | 4 |
| painful | 4 |
| powerful | 4 |
| rat | 4 |
| shoot | 4 |
| shooting | 4 |
| shortage | 4 |
| torture | 4 |
| abyss | 3 |
| assault | 3 |
| bait | 3 |
| broke | 3 |
| buck | 3 |
| bug | 3 |
| compassion | 3 |
| concerned | 3 |
| conspiracy | 3 |
| criminal | 3 |
| cursed | 3 |
| danger | 3 |
| defend | 3 |
| devastating | 3 |
| explode | 3 |
| gang | 3 |
| hearing | 3 |
| illegal | 3 |
| journey | 3 |
| jungle | 3 |
| monster | 3 |
| oppression | 3 |
| outsider | 3 |
| prey | 3 |
| prison | 3 |
| punch | 3 |
| react | 3 |
| ruin | 3 |
| rule | 3 |
| scream | 3 |
| screaming | 3 |
| sin | 3 |
| tragedy | 3 |
| troll | 3 |
| warning | 3 |
| wary | 3 |
| youth | 3 |
| absence | 2 |
| agony | 2 |
| alarming | 2 |
| anguish | 2 |
| anxious | 2 |
| armor | 2 |
| avoiding | 2 |
| bacteria | 2 |
| bankrupt | 2 |
| belt | 2 |
| beware | 2 |
| blast | 2 |
| bottomless | 2 |
| brutal | 2 |
| captive | 2 |
| confusion | 2 |
| coyote | 2 |
| cruel | 2 |
| cult | 2 |
| cutter | 2 |
| delusion | 2 |
| demise | 2 |
| destructive | 2 |
| dinosaur | 2 |
| discipline | 2 |
| disinformation | 2 |
| dominant | 2 |
| embarrassment | 2 |
| exile | 2 |
| failing | 2 |
| fever | 2 |
| flee | 2 |
| flood | 2 |
| foul | 2 |
| fragile | 2 |
| grave | 2 |
| grim | 2 |
| heathen | 2 |
| hiding | 2 |
| holiness | 2 |
| homeless | 2 |
| hopeless | 2 |
| horror | 2 |
| horrors | 2 |
| hurting | 2 |
| illness | 2 |
| infant | 2 |
| lines | 2 |
| loyal | 2 |
| mace | 2 |
| madness | 2 |
| misery | 2 |
| punish | 2 |
| raging | 2 |
| restriction | 2 |
| retirement | 2 |
| rifle | 2 |
| riot | 2 |
| scarce | 2 |
| shaking | 2 |
| shooter | 2 |
| slam | 2 |
| slave | 2 |
| snake | 2 |
| sneak | 2 |
| socialist | 2 |
| sorrow | 2 |
| suspect | 2 |
| sweat | 2 |
| threat | 2 |
| validity | 2 |
| volunteer | 2 |
| warned | 2 |
| wasting | 2 |
| wilderness | 2 |
| abandon | 1 |
| accident | 1 |
| accusing | 1 |
| aggressive | 1 |
| alarm | 1 |
| alerts | 1 |
| ambulance | 1 |
| anarchy | 1 |
| animosity | 1 |
| annihilation | 1 |
| anomaly | 1 |
| antisocial | 1 |
| apache | 1 |
| arson | 1 |
| artillery | 1 |
| attacking | 1 |
| avalanche | 1 |
| bale | 1 |
| bang | 1 |
| battlefield | 1 |
| behemoth | 1 |
| bigoted | 1 |
| blackness | 1 |
| bloodthirsty | 1 |
| bomb | 1 |
| bully | 1 |
| burial | 1 |
| busted | 1 |
| cannon | 1 |
| carnage | 1 |
| casket | 1 |
| cautious | 1 |
| chaos | 1 |
| cliff | 1 |
| collapse | 1 |
| combat | 1 |
| confidence | 1 |
| confined | 1 |
| coward | 1 |
| creature | 1 |
| criticize | 1 |
| cruelty | 1 |
| crushed | 1 |
| crushing | 1 |
| curse | 1 |
| darkness | 1 |
| deadly | 1 |
| defendant | 1 |
| defiance | 1 |
| delusional | 1 |
| demented | 1 |
| dementia | 1 |
| demonic | 1 |
| desert | 1 |
| deserted | 1 |
| despair | 1 |
| dictatorship | 1 |
| disabled | 1 |
| disappear | 1 |
| disaster | 1 |
| disease | 1 |
| disgusting | 1 |
| disintegrate | 1 |
| dislocated | 1 |
| disorder | 1 |
| disruption | 1 |
| distressed | 1 |
| divorce | 1 |
| doom | 1 |
| drown | 1 |
| duel | 1 |
| duress | 1 |
| elevation | 1 |
| elimination | 1 |
| emergency | 1 |
| endanger | 1 |
| enemy | 1 |
| enforce | 1 |
| escaped | 1 |
| excruciating | 1 |
| explosive | 1 |
| fatal | 1 |
| fearful | 1 |
| fearing | 1 |
| fierce | 1 |
| firearms | 1 |
| flu | 1 |
| flying | 1 |
| foe | 1 |
| fraught | 1 |
| grieve | 1 |
| growling | 1 |
| haunted | 1 |
| havoc | 1 |
| heighten | 1 |
| helplessness | 1 |
| homework | 1 |
| homicide | 1 |
| honest | 1 |
| hood | 1 |
| horrifying | 1 |
| hostage | 1 |
| howl | 1 |
| hunter | 1 |
| hurricane | 1 |
| hydra | 1 |
| illicit | 1 |
| imminent | 1 |
| impending | 1 |
| inequality | 1 |
| infection | 1 |
| inflict | 1 |
| injection | 1 |
| injured | 1 |
| injury | 1 |
| insanity | 1 |
| insecure | 1 |
| iris | 1 |
| isolated | 1 |
| jealousy | 1 |
| lash | 1 |
| lava | 1 |
| lawsuit | 1 |
| malignant | 1 |
| marry | 1 |
| massacre | 1 |
| melee | 1 |
| mighty | 1 |
| mishap | 1 |
| mistaken | 1 |
| mob | 1 |
| murderous | 1 |
| nervous | 1 |
| nightmare | 1 |
| nurture | 1 |
| oblivion | 1 |
| offense | 1 |
| operation | 1 |
| oppressive | 1 |
| orphan | 1 |
| pained | 1 |
| parachute | 1 |
| persecution | 1 |
| plunge | 1 |
| poaching | 1 |
| poverty | 1 |
| prisoner | 1 |
| procedure | 1 |
| prowl | 1 |
| punishing | 1 |
| punishment | 1 |
| quarantine | 1 |
| quash | 1 |
| radioactive | 1 |
| rampage | 1 |
| regulatory | 1 |
| rejection | 1 |
| remains | 1 |
| repent | 1 |
| resistant | 1 |
| retard | 1 |
| revolution | 1 |
| revulsion | 1 |
| robbery | 1 |
| ruined | 1 |
| scar | 1 |
| serpent | 1 |
| shady | 1 |
| shaky | 1 |
| shell | 1 |
| shiver | 1 |
| sickening | 1 |
| sinful | 1 |
| siren | 1 |
| slavery | 1 |
| smite | 1 |
| sorcery | 1 |
| spear | 1 |
| speculation | 1 |
| spider | 1 |
| spike | 1 |
| steal | 1 |
| stint | 1 |
| stroke | 1 |
| struggle | 1 |
| suffocating | 1 |
| suicide | 1 |
| superstition | 1 |
| surgery | 1 |
| taunt | 1 |
| teasing | 1 |
| terrorist | 1 |
| threatening | 1 |
| thundering | 1 |
| tornado | 1 |
| travesty | 1 |
| treacherous | 1 |
| treat | 1 |
| trembling | 1 |
| tribunal | 1 |
| tyranny | 1 |
| unholy | 1 |
| unknown | 1 |
| unlucky | 1 |
| unstable | 1 |
| urgency | 1 |
| vengeful | 1 |
| verge | 1 |
| villain | 1 |
| warlock | 1 |
| warn | 1 |
| warrior | 1 |
| wicked | 1 |
| witch | 1 |
| worrying | 1 |
| worship | 1 |
| wrecked | 1 |
| yell | 1 |
The word “bear” itself is showing up as a word categorised as fear, which probably explains why ‘fear’ is the biggest emotion seen in our tweets. Let’s take a look at recoding the dictionary.
There are a couple of options here. Since it’s our search term and it’s a species which people feel very differently about, let’s just remove it from the dictionary. That will show us what the rest of the words in our tweets are about.
# The first thing to do is view your dictionary to look at how it's coded; is it a word, or numbers?
Dictionary <- get_sentiment_dictionary(dictionary = "nrc", language = "english")
Dictionary <- Dictionary %>%
filter(word != "bear")
EmoBear2 <- CleanBear %>%
inner_join(Dictionary) %>%
count(word, sentiment, sort = TRUE)
ggplot(EmoBear2, aes(sentiment, n)) +
geom_bar(aes(fill = sentiment), stat = "identity", show.legend = FALSE) +
labs(x = "Emotion & sentiment", y = "Scores", title = "Emotion in 'bear' tweets")
We can see a huge change in how big the ‘fear’ bar was, which suggests the word ‘bear’ itself was making a large contribution to that emotion. Positive is now the most commonly seen emotion, followed by negative, trust, and anticipation.
Topic modelling
Topic modelling allows us to find out how people are talking about our search term, by grouping similar things into topics.
How do we find out how many different topics there are? To run our topic model we’ll be using a package called ‘stm’ and the function within that package called stm(). Part of that function is an argument where you specify “K =”, which defines how many topics you think there are. If you set K = 0, stm will decide how many different topics there are for you. If you have duplicates in your text trying to run the function with K = 0 will cause issues, which is really frustrating.
If you don’t want to remove duplicates you will need to manually define topics. You can do this anyway if you want to, and Julia Silge has a great tutorial on manually identifying the right number of topics. However, if you have a larger dataset it can take a long time to run one stm, let alone multiple so be aware that the larger your dataset, the longer this will take to run.
We removed the duplicates for the sake of this being a tutorial and to save time.
The STM itself will take about 10 minutes to run and that’s just with 5,000 tweets. I recently ran an stm which took a week to fit.
library(stm)
Bear_DFM <- CleanBear %>%
count(ID, word, sort = TRUE) %>%
cast_dfm(ID, word, n)
Bear_Topic <- stm(Bear_DFM, K = 0, init.type = "Spectral")
summary(Bear_Topic)
save(Bear_Topic, file = "Bear_Topic.Rdata")stm has determined we have 79 different topics, so let’s take a look at these.
library(stm)
load("Bear_Topic.Rdata") # You don't need to load this in here - I'm doing it because it takes so long to run the topic models and re-doing that each time I updated my Markdown file was a paaaain.
plot(Bear_Topic)
Tidy_Model <- tidy(Bear_Topic)
Tidy_Model %>%
group_by(topic) %>%
top_n(20, beta) %>%
ungroup() %>%
mutate(topic = paste0("Topic ", topic),
term = reorder_within(term, beta, topic)) %>%
ggplot(aes(term, beta, fill = as.factor(topic))) +
geom_col(alpha = 0.8, show.legend = FALSE) +
facet_wrap(~ topic, scales = "free_y", ncol = 4) +
coord_flip() +
scale_x_reordered() +
labs(x = NULL, y = expression(beta),
title = "Words most likely to belong to each topic")
ggsave("BearModel.jpeg", height = 120, width = 60, units = "cm")We’ve got a wide variety of things and some of those words are clearly not related to the animal bears, suggesting that we would need to get creative with our text cleaning if we only wanted to look at tweets relating to the animal.
What next?
If you want to learn more about text mining and topic modelling, here are a few resources that helped me.Here are a few ideas for next steps:
- Monitor how sentiment changes with time.
- Look at whether certain sentiments or emotions are associated with more favourites or retweets.
- If you’re interested in more than one search term (maybe you want to look at bears and wolves, for example) you can compare sentiment and emotions between the two.