使用余弦定理计算两篇文章的相似性

Posted 2020-08-19 xitingxie

使用余弦定理计算两篇文章的相似性：（方法论，细致易懂版）

http://blog.csdn.net/dearwind153/article/details/52316151

python 实现（代码）：

http://outofmemory.cn/code-snippet/35172/match-text-release

（结巴分词下载及安装：http://www.cnblogs.com/kaituorensheng/p/3595879.html）

java 实现（代码+方法描述）：

https://my.oschina.net/leejun2005/blog/116291

（以上是我参考的资料）

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我用的是Python实现的，需安装结巴分词的Python包

代码如下：

#!/usr/bin/env python
# -*- coding: utf-8 -*

import re
from math import sqrt
#You have to install the python lib
import jieba

def file_reader(filename,filename2):
    file_words = {}
    ignore_list = [u\'的\',u\'了\',u\'和\',u\'呢\',u\'啊\',u\'哦\',u\'恩\',u\'嗯\',u\'吧\'];
    accepted_chars = re.compile("[\\\\u4E00-\\\\u9FA5]+")

    file_object = open(filename)

    try:
        all_the_text = file_object.read()
        seg_list = jieba.cut(all_the_text, cut_all=True)
        #print "/ ".join(seg_list)
        for s in seg_list:
            if accepted_chars.match(s) and s not in ignore_list:
                if s not in file_words.keys():
                    file_words[s] = [1,0]
                else:
                    file_words[s][0] += 1
    finally:
        file_object.close()

    file_object2 = open(filename2)

    try:
        all_the_text = file_object2.read()
        seg_list = jieba.cut(all_the_text, cut_all=True)
        for s in seg_list:
            if accepted_chars.match(s) and s not in ignore_list:
                if s not in file_words.keys():
                    file_words[s] = [0,1]
                else:
                    file_words[s][1] += 1
    finally:
        file_object2.close()

    sum_2 = 0
    sum_file1 = 0
    sum_file2 = 0
    for word in file_words.values():
        sum_2 += word[0]*word[1]
        sum_file1 += word[0]**2
        sum_file2 += word[1]**2

    rate = sum_2/(sqrt(sum_file1*sum_file2))
    print(\'rate: \')
    print(rate)


file_reader(\'thefile.txt\',\'thefile2.txt\')
#该片段来自于http://outofmemory.cn