pyhanlp地址:https://github.com/hankcs/pyhanlp
pip安装完后,import pyhanlpy会自动下载一个.hanlp
文件到C:\ProgramData
地址下
如果因为国内原因下载不下来的话,可以在这里下载:.hanlp下载地址
from pyhanlp import *
# 关键词提取
def extractKeyword(document, keyword_num=2):
return HanLP.extractKeyword(document, keyword_num)
if __name__ == '__main__':
document = ''
# 返回list形式
keywords = list(extractKeyword(document keyword_num=2))
# 若需要进一步处理变成一个str,则用下面的内容
keywords = '+'.join(keywords)
其他方法
from pyhanlp import *
# 自动摘要
def extractSummary(document, summary_num=1):
return HanLP.extractSummary(document, summary_num)
# 切词
def segment(document):
return HanLP.segment(document)
# 关键词提取
def extractKeyword(document, keyword_num=2):
return HanLP.extractKeyword(document, keyword_num)
# 短语提取
def extractPhrase(document, phrase_num=2):
return HanLP.extractPhrase(document, phrase_num)
def extractPhrase_forSearch(document, phrase_num=2):
return HanLP.extractPhrase(document, phrase_num)
# 自动摘要+关键词提取
def summary_and_keyword(document, summary_num=1, keyword_num=2, ifsummary=True):
if ifsummary:
document = str(extractSummary(document, summary_num=summary_num))
document = document.replace('[','')
document = document.replace(']', '')
if len(document)>=10:
keywords = list(extractKeyword(document, keyword_num=keyword_num))
keywords = '+'.join(keywords)
return keywords
else:
return document