Python数据挖掘-关键字提取

jieba.analyse.extract_tags(sentence, topK=20, withWeight=False, allowPOS=())

–sentence 为待提取的文本
–topK 为返回几个 TF/IDF 权重最大的关键词，默认值为 20
–withWeight 为是否一并返回关键词权重值，默认值为 False
–allowPOS 仅包括指定词性的词，默认值为空，即不筛选

模块：os、codecs、pandas、jieba、

import os
import codecs
import pandas
import jieba
import jieba.analyse

filePaths = []
contents = []
tag1s = []
tag2s = []
tag3s = []
tag4s = []
tag5s = []

for root, dirs, files in os.walk(
    "D:\PDM\2.6\SogouC.mini\Sample\"
):
    for name in files:
        filePath = root + '\' + name;
        f = codecs.open(filePath, 'r', 'utf-8')
        content = f.read().strip()
        f.close()
        tags = jieba.analyse.extract_tags(content, topK=5)
        filePaths.append(filePath)
        contents.append(content)
        tag1s.append(tags[0])
        tag2s.append(tags[1])
        tag3s.append(tags[2])
        tag4s.append(tags[3])
        tag5s.append(tags[4])

tagDF = pandas.DataFrame({
    'filePath': filePaths, 
    'content': contents, 
    'tag1': tag1s, 
    'tag2': tag2s, 
    'tag3': tag3s, 
    'tag4': tag4s, 
    'tag5': tag5s
})