I will collect 500 tweets that are designated as english and are not retweets, for both that use their @s. I will use the text of the tweet and use nrc to find popular emotions of the tweets.
The two highest sentiments found for both brands were positive and anticipation, McDonalds next highest sentiments were negative and anger. Burger King’s next highert were trust, joy, and negative.
##McDonald’s
## # A tibble: 1 × 1
## n
## <int>
## 1 139
## # A tibble: 32 × 3
## n sentiment word
## <int> <chr> <chr>
## 1 7 negative bad
## 2 6 negative wrong
## 3 5 negative damn
## 4 5 negative hash
## 5 4 negative cold
## 6 4 negative forget
## 7 4 negative lower
## 8 4 negative refuse
## 9 4 negative shit
## 10 4 negative sprite
## # … with 22 more rows##Burger King
## # A tibble: 1 × 1
## n
## <int>
## 1 131
## # A tibble: 45 × 3
## n sentiment word
## <int> <chr> <chr>
## 1 8 negative bad
## 2 8 negative hungry
## 3 8 negative shit
## 4 6 negative warfare
## 5 5 negative disappointed
## 6 5 negative wait
## 7 4 negative angry
## 8 4 negative cold
## 9 4 negative grab
## 10 4 negative impossible
## # … with 35 more rowsMcDonald receives tweets with sligtly more negatively sentimentalized words, having 139, compared to Burker King’s 131. Popular McDomands words were ‘bad’, ‘wrong’, ‘damn’, and ‘hash’ but I assume that is referring to their hash browns. Burger King’s popular negatvly sentimentalized words were ‘bad’, ‘shit’, ‘hungry’ and ‘warfare’, and I am personally willing to look over ‘hungry’ and ‘warfare’.
## Joining, by = "word"
## Joining, by = "word"
## Joining, by = "word"
## Joining, by = "word"
For McDonald’s, it looks like there was a small increase at hours 5 and 8, and large increases at hours 20 and 23, there was a large gap, from hour 9 to 18, there were no tweets with negative sentiments. Burger King had its highest levels at hours 12, 18, and 20. Burger king’s chart was chart was more in line with what I expected, constant but with spikes, unlike McDonald’s, which had a large gap.