pyhanlp地址:https://github.com/hankcs/pyhanlp
pip安裝完後,import pyhanlpy會自動下載一個.hanlp
文件到C:\ProgramData
地址下
如果因爲國內原因下載不下來的話,可以在這裏下載:.hanlp下載地址
from pyhanlp import *
# 關鍵詞提取
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))
# 若需要進一步處理變成一個str,則用下面的內容
keywords = '+'.join(keywords)
其他方法
from pyhanlp import *
# 自動摘要
def extractSummary(document, summary_num=1):
return HanLP.extractSummary(document, summary_num)
# 切詞
def segment(document):
return HanLP.segment(document)
# 關鍵詞提取
def extractKeyword(document, keyword_num=2):
return HanLP.extractKeyword(document, keyword_num)
# 短語提取
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)
# 自動摘要+關鍵詞提取
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