Skip to main content

中文文本相似度计算器 - 相识

Project description

相识(Xiangshi)

中文文本相似度计算器

Chinese Text Similarity Calculator (English README)

在线计算文本相似度

Pypi Version Pypi Downloads

相识是一个侧重于中文的文本相似度计算器,并提供4个传统相似度算法,分别是:余弦相似度,Simhash,Minhash以及Jaccard(杰卡德)。

下载与安装

Pip安装:

pip3 install xiangshi

国内较慢的话可以使用清华镜像:

pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple xiangshi

新版本

v4.2.0:

  • 删除logging
  • 删除file2listdict2file等辅助函数
  • 删除Ngrams
  • 删除Kmeans
  • 增加Jaccard相似度
  • 提升余弦、Simhash相似度计算速度

注意:

  • v4.2.0文本相似度的计算结果可能和v4.1.0不一样,因为v4.1.0加权方式不同。
  • v4.2.0文本相似度的输入均为两个string,且不与v4.1.0反向兼容。
  • v4.2.0不再支持文本聚类(如果还有人需要的话请联系我,我会另开一个包)

使用方法

计算文本相似度

余弦相似度示例

import xiangshi as xs
xs.cossim("如何更换花呗绑定银行卡", "花呗更改绑定银行卡")

Simhash & Minhash & Jaccard相似度示例

import xiangshi as xs
# Simhash
xs.simhash("如何更换花呗绑定银行卡", "花呗更改绑定银行卡")
# Minhash
xs.minhash("如何更换花呗绑定银行卡", "花呗更改绑定银行卡")
# Jaccard
xs.jaccard("如何更换花呗绑定银行卡", "花呗更改绑定银行卡")

其它加权方法

默认的加权方法是计算每个单词在文中出现的数量,以下还有其他两种加权方法可供选择。

TFIDF

arg = [
    "西班牙失业率创新高",
    "澳大利亚失业率高达5.1%",
    "花呗更改绑定银行卡",
    "我什么时候开通了花呗",
    "从这个角度来看, 我们一般认为,抓住了问题的关键,其他一切则会迎刃而解。"
    "从这个角度来看, 每个人都不得不面对这些问题。"

]
xs.weight = "TFIDF" # 将加权方式设置为TFIDF
xs.construct(arg) # 输入TFIDF文本,相同的文本只需调用这个函数一次

xs.cossim("如何更换花呗绑定银行卡", "花呗更改绑定银行卡")
xs.simhash("如何更换花呗绑定银行卡", "花呗更改绑定银行卡")

没有加权

xs.weight = "None" # 将加权方式设置为None
xs.cossim("如何更换花呗绑定银行卡", "花呗更改绑定银行卡")

修改默认函数

import xiangshi as xs
#计算Simhash时取前多少的TFIDF值。默认值为64
xs.feature = 64
#计算Minhash时算出多少个哈希值。默认值为16
xs.HashNums = 16
#计算Minhash时的最大哈希。默认值为4294967311
xs.prime = 4294967311

目前状态

持续维护并且持续关注Issues & Pull Requests

未来版本

  • 内嵌C语言提速
  • 使用BERT或类似机器学习模型实现更精确的文本相似度

其他链接

相识寓意

同是天涯沦落人,相逢何必曾相识

MIT License

Copyright (c) [2021] [kiwirafe]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xiangshi-4.2.0.tar.gz (13.3 kB view hashes)

Uploaded Source

Built Distribution

xiangshi-4.2.0-py3-none-any.whl (11.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page