[Python] Extract keywords through pyhanlp

pyhanlp address: https://github.com/hankcs/pyhanlp
After pip is installed, import pyhanlpy will automatically download a .hanlpfile to the C:\ProgramDataaddress.
If you can’t download it due to domestic reasons, you can download it here: .hanlp download address

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)

Other methods

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