NLPIR-python A python wrapper and toolkit for NLPIR

nlpir-python 是一个 NLPIR 的python调用包

nlpir-python is a python wrapper for NLPIR modules.

• Documentation: https://nlpir-python.rtfd.io
• Github: https://github.com/NLPIR-team/nlpir-python
• Support: https://github.com/NLPIR-team/nlpir-python/issues
• Free software: MIT license

About

本模块提供两种调用方式:

This package includes two level of method:

1. Native call from Dynamic Link Library(DLL) 原生的直接调用DLL的调用方式

These methods are native method directory from DLL, you can easily use them if you are familiar with the NLPIR modules.

原生方法是直接调用的NLPIR中的api,并进行了部分简化处理,和python化.

fromnlpir.nativeimportICTCLAStest_str="法国启蒙思想家孟德斯鸠曾说过：“一切有权力的人都容易滥用" \
"权力，这是一条千古不变的经验。有权力的人直到把权力用到" \
"极限方可休止。”另一法国启蒙思想家卢梭从社会契约论的观点" \
"出发，认为国家权力是公民让渡其全部“自然权利”而获得的，" \
"他在其名著《社会契约论》中写道：“任何国家权力无不是以民" \
"众的权力（权利）让渡与公众认可作为前提的”。"ictclas=ICTCLAS()
ictclas.paragraph_process(test_str, 0)

2. High-level pythonic method 整合后的更加Python的调用方式

However, the native methods are not very friendly to the beginners. These methods provide a wrapper and tools for the native call, make it easier to use.

然而,对于一般用户来说,原生api功能强大但是却不是很友好.这里nlpir-python对原生api就行包装, 并提供了一些工具方法,使其更利于使用.

fromnlpirimportictclas, toolstools.update_license()
test_str="法国启蒙思想家孟德斯鸠曾说过：“一切有权力的人都容易滥用" \
"权力，这是一条千古不变的经验。有权力的人直到把权力用到" \
"极限方可休止。”另一法国启蒙思想家卢梭从社会契约论的观点" \
"出发，认为国家权力是公民让渡其全部“自然权利”而获得的，" \
"他在其名著《社会契约论》中写道：“任何国家权力无不是以民" \
"众的权力（权利）让渡与公众认可作为前提的”。"forword, posinictclas.segment(test_str, pos_tagged=True):
print(word, pos)

NOTE: This module only support python3.6+

NOTE: This repo use the git-lfs, please install lfs when pull this repo

Supported Table

	Native	Native Doc	Native Test	High-Level	High-Level Doc	High-Level Test	Tutorial
ICTCLAS	✔	✔	✔	✔	✔	✔	✔
NewWordFinder	✔	✔	✔	✔	✔	✔
KeyExtract	✔	✔	✔	✔	✔	✔
Summary	✔	✔	✔	✔	✔	✔
SentimentNew	✔	✔	✍
SentimentAnalysis	✔	✔	✍	✔	✔
Classify	✔	✔	✍
DeepClassify	✔	✔	✍
Cluster	✔	✔		✔	✔
EyeChecker	✔	✔	✔	✔	✔	✔
DocCompare
DocExtractor	✔	✔		✔	✔
DocParser
iEncoder
HTMLParser
KeyScanner	✔	✔		✔	✔
RedupRemover
SpellChecker
SplitSentence
TextSimilarity	✔	✍		✔	✔
Word2vec