作业:中文词频统计
这个作业的要求来自于:https://edu.cnblogs.com/campus/gzcc/GZCC-16SE2/homework/2773。
1. 下载一长篇中文小说。
我下载的是匪我思存的中长篇小说《东宫》。
2. 从文件读取待分析文本。
article = open('test.txt',encoding='UTF-8').read()
3. 安装并使用jieba进行中文分词。
4. 更新词库,加入所分析对象的专业词汇。
jieba.add_word('李承鄞') words = list(jieba.cut(article))
5. 生成词频统计
for w in articleSet: if len(w)>1: articleDict[w] = words.count(w)
6. 排序
articlelist = sorted(articleDict.items(),key = lambda x:x[1], reverse = True)
7. 排除语法型词汇,代词、冠词、连词
dele = {'。','!','?','的','“','”','(',')',' ','》','《',','} articleDict = {} articleSet = set(words)-dele
8. 输出词频最大TOP20,把结果存放到文件里
for i in range(20): print(articlelist[i])
9. 生成词云。
from wordcloud import WordCloudimport matplotlib.pyplot as plt import jieba cut_text = " ".join(words) 'print(cut_text)' mywc = WordCloud().generate(cut_text) plt.imshow(mywc)plt.axis("off") plt.show()
项目代码如下所示:
# -*- coding: utf-8 -*-""" Created on Mon Mar 18 11:47:24 2019 @author: Administrator""" from wordcloud import WordCloudimport matplotlib.pyplot as plt import jieba article = open('test.txt',encoding='UTF-8').read() dele = {'。','!','?','的','“','”','(',')',' ','》','《',','} jieba.add_word('李承鄞') words = list(jieba.cut(article)) articleDict = {} articleSet = set(words)-dele for w in articleSet: if len(w)>1: articleDict[w] = words.count(w) articlelist = sorted(articleDict.items(),key = lambda x:x[1], reverse = True) cut_text = " ".join(words) 'print(cut_text)' mywc = WordCloud().generate(cut_text) plt.imshow(mywc)plt.axis("off") plt.show() ''' for i in range(20): print(articlelist[i]) import pandas as pd pd.DataFrame(data=articlelist).to_csv('test.csv',encoding='UTF-8') '''
运行效果如图所示:
生成词云如图所示: