kakao_text_mining

오픈채팅방 분석을 해보고자한다. 이는 비정형 데이터로, 정형데이터로 바꾸는 작업으로부터 내가 속한 오픈 채팅방의 생태계를 보고자 한다.

필요한 패키지

library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

library(plotly)

## Loading required package: ggplot2

## 
## Attaching package: 'plotly'

## The following object is masked from 'package:ggplot2':
## 
##     last_plot

## The following object is masked from 'package:stats':
## 
##     filter

## The following object is masked from 'package:graphics':
## 
##     layout

# Date library
library(lubridate)

## 
## Attaching package: 'lubridate'

## The following object is masked from 'package:base':
## 
##     date

# character string library
library(stringr)

library(ggplot2)
library(DT)
# variable in linux

library(wordcloud)

## Loading required package: RColorBrewer

library(RColorBrewer)
library(KoNLP)

## Checking user defined dictionary!

일별 카톡 트레픽

시간별 카톡 트래픽

## Warning in instance$preRenderHook(instance): It seems your data is too
## big for client-side DataTables. You may consider server-side processing:
## https://rstudio.github.io/DT/server.html