利用Python将文本中的中英文分离

在进行文本分析、提取关键词时,新闻评论等文本通常是中英文及其他语言的混杂,若不加处理直接分析,结果往往差强人意。

下面对中英文文本进行分离做一下总结:

1、超短文本,ASCII识别。

s = "China's Legend Holdings will split its several business arms to go public on stock markets, the group's president Zhu Linan said on Tuesday.该集团总裁朱利安周二表示,中国联想控股将分拆其多个业务部门在股市上市。"
result = "".join(i for i in s if ord(i) < 256)
print(result)
out:
China's Legend Holdings will split its several business arms to go public on stock markets, the group's president Zhu Linan said on Tuesday.

2、unicode编码识别

import re
s = "China's Legend Holdings will split its several business arms to go public on stock markets, the group's president Zhu Linan said on Tuesday.该集团总裁朱利安周二表示,中国联想控股将分拆其多个业务部门在股市上市。"
uncn = re.compile(r'[\u0061-\u007a,\u0020]')
en = "".join(uncn.findall(s.lower()))
print(en)
out:
chinas legend holdings will split its several business arms to go public on stock markets, the groups president zhu linan said on tuesday

中文的编码范围是:\u4e00-\u9fa5,相应的[^\u4e00-\u9fa5]可匹配非中文。

匹配英文时,需要将空格[\u0020]加入,不然单词之间没空格了。

附:各国文字Unicode编码范围

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