9 中文文本分析

代码提供： 张柏珊 王楠

主要内容：

-1.安装拓展包和导入 -2.分词 -3.运用SQL -4.词云 -5.词频可视化

9.1 安装拓展包和导入

9.1.1 安装拓展包

library(jiebaR)

## Loading required package: jiebaRD

library(tidyverse)
library(rvest)

## 
## Attaching package: 'rvest'

## The following object is masked from 'package:readr':
## 
##     guess_encoding

library(wordcloud2)
library(dplyr)

9.1.2 导入文档，建议用记事本，格式为UTTF-8 运用scan函数

f <- scan('zfgzbg.txt', sep = '\n', encoding = 'UTF-8', what = '')

9.2 结巴分词处理

9.2.1 制作词表

9.2.1.1 标停止词

engine1 <- worker(user = "users.txt",stop_word = "stopwords.txt")
stopwords_CN <- c("被","怎么","还是","多少","得", "吗","给",
                  "年","月","还","个","能", "日","什么","做","没","啊",
                  "的", "了", "在", "是", "我", "有", "和", "就","不",
                  "人", "都", "一", "一个", "上", "也", "很", "到", "说",
                  "要", "去", "你","会", "着", "没有", "看", "好",
                  "自己", "这", "等","各位代表")
library('jiebaR')

9.2.1.2 变量seg保存文章所有的词语

seg <- qseg[f]

## Warning in `[.qseg`(qseg, f): Quick mode is depreciated, and is scheduled to be
## remove in v0.11.0. If you want to keep this feature, please submit a issue on
## GitHub page to let me know.

## Warning in file.exists(code) && .GlobalEnv$quick_worker$write == T: 'length(x)
## = 88 > 1' in coercion to 'logical(1)'

9.2.1.3 保留字数大于1的词语

seg <- seg[nchar(seg)>1]

9.2.1.4 用数据框函数讲这些词汇排成一列方便处理

m1 <- data.frame(seg)

9.3 运用SQL

9.3.1 安装并载入sqldf程序包 >group by“根据一定的规则进行分组”，通过一定的规则将一个数据集划分成若干个笑的区域，然后针对若干个小区域进行数据处理 >count(1)来计数 >select检索数据

library(sqldf)

## Loading required package: gsubfn

## Loading required package: proto

## Loading required package: RSQLite

m2 <- sqldf('select seg,count(1)as freg from m1 group by seg')
class(m2)

## [1] "data.frame"

9.3.2 按顺序排列

m3=m2[order(m2$freg,decreasing = TRUE),]

9.3.3 抽取频次为前一百的词语

 m4=m3[1:100,]

9.4 绘制词云

wordcloud2(m4,size=1,shape="star")

9.5 词频可视化

9.5.1 barplot绘制排名前30的高频词 第一个参数源为数据源，第二个参数源为标签

barplot(m4$freg[1:30] , names.arg = m4$seg[1:30], col = rainbow(30))+
  theme(text = element_text(family='Kai'))

## NULL

9.5.2 利用pie函数绘制饼图对高频词语进行可视化

提取数据

number <- m4$freg[1:30]
label <- m4$seg[1:30]

不带比例的饼图

a <- pie(number,label,main = "TOP30词语")+
  theme(text = element_text(family='Kai'))

带比例的饼图

pie(number, a$label, main ="TOP30词语" )