nlpir-python 0.9.15b1

NLPIR-python A python wrapper and toolkit for NLPIR

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.

    from nlpir.native import ICTCLAS
    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”。"
    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.

    from nlpir import ictclas, tools
    tools.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”。"

    for word, pos in ictclas.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