一，對txt檔案中出現的詞語的頻數統計再找出出現頻率多的
二，程式碼：

import re
from collections import Counter
import jieba


def cut_word(datapath):
    with open(datapath,'r',encoding='utf-8')as fp:
        string = fp.read()
        data = re.sub(r"[\s+\.\!\/_,$%^*(【】：\]\[\-:;+\"\']+|[+——！，。？、[email protected]#￥%……&*（）]+|[0-9]+", "", string)
        word_list = jieba.cut(data)
        print(type(word_list))
        return word_list

def static_top_word(word_list,top=5):
    result = dict(Counter(word_list))
    print(result)
    sortlist = sorted(result.items(),key=lambda x:x[1],reverse=True)
    resultlist = []
    for i in range(0,top):
        resultlist.append(sortlist[i])
    return resultlist


def main():
    datapath = 'comment.txt'
    word_list = cut_word(datapath)
    Result = static_top_word(word_list)
    print(Result)
main()
 

三，用正則對特殊符號過濾,用re.sub()對字元進行空字元替換