Python——jieba库初使用
2021-01-26 01:13
标签:enter normal prefix tom seconds orm ref _id Fix 今日一言:“从来不是让你把一次考试当成人生成败的赌注, jieba库是一款优秀的 Python 第三方中文分词库,jieba 支持三种分词模式:精确模式、全模式和搜索引擎模式,下面是三种模式的特点。 var_str = "小鱼爱吃鱼,非偏振光有完全偏振光和部分偏振光" print(jieba.lcut(var_str)) print(jieba.lcut(var_str, cut_all=True)) print(jieba.lcut_for_search(var_str)) Process finished with exit code 0 Python——jieba库初使用 标签:enter normal prefix tom seconds orm ref _id Fix 原文地址:https://www.cnblogs.com/rcklos/p/12858414.html
?????只是想让你在足够年轻的时候体会一次全力以赴。”
??????????????????——《请回答1988》Python——jieba库初使用
安装
C:\Users\20152>pip install -i https://pypi.tuna.tsinghua.edu.cn/simple jieba
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting jieba
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/c6/cb/18eeb235f833b726522d7ebed54f2278ce28ba9438e3135ab0278d979
2a2/jieba-0.42.1.tar.gz (19.2 MB)
|████████████████████████████████| 19.2 MB 373 kB/s
Installing collected packages: jieba
Running setup.py install for jieba ... done
Successfully installed jieba-0.42.1
初使用
程序:
import jieba
运行结果:
C:\Users\20152\AppData\Local\Programs\Python\Python36\python.exe C:/Users/20152/PycharmProjects/cvTest/venv/temp.py
Building prefix dict from the default dictionary ...
Loading model from cache C:\Users\20152\AppData\Local\Temp\jieba.cache
Loading model cost 0.656 seconds.
Prefix dict has been built successfully.
[‘小鱼‘, ‘爱吃鱼‘, ‘,‘, ‘非‘, ‘偏振光‘, ‘有‘, ‘完全‘, ‘偏振光‘, ‘和‘, ‘部分‘, ‘偏振光‘]
[‘小鱼‘, ‘爱吃鱼‘, ‘,‘, ‘非‘, ‘偏振‘, ‘偏振光‘, ‘有‘, ‘完全‘, ‘偏振‘, ‘偏振光‘, ‘和‘, ‘部分‘, ‘偏振‘, ‘偏振光‘]
[‘小鱼‘, ‘爱吃鱼‘, ‘,‘, ‘非‘, ‘偏振‘, ‘偏振光‘, ‘有‘, ‘完全‘, ‘偏振‘, ‘偏振光‘, ‘和‘, ‘部分‘, ‘偏振‘, ‘偏振光‘]
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