August 2022
Intermediate to advanced
441 pages
11h 26m
Chinese
Content preview from Python文本分析
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准备统计和机器学习的文本数据
｜
135
for col, values in extract_nlp(doc).items():
print(f"{col}: {values}")
输出结果：
lemmas: ['good', 'friend', 'Ryan', 'Peters', 'like', 'fancy', 'adventure', \
'game']
adjs_verbs: ['good', 'like', 'fancy']
nouns: ['friend', 'Ryan', 'Peters', 'adventure', 'game']
noun_phrases: ['adventure_game']
adj_noun_phrases: ['good_friend', 'fancy_adventure', 'fancy_adventure_game']
entities: ['Ryan_Peters/PERSON']
上述返回的列表中包含了下一步所需的列名。我们无需对它进行硬编码，因为我们
可以用一个空文档调用
extract_nlp
即可获取这个列表：
nlp_columns = list(extract_nlp(nlp.make_doc('')).keys())
print(nlp_columns)
输出结果：
['lemmas', 'adjs_verbs', 'nouns', 'noun_phrases', 'adj_noun_phrases', 'entities']
4.7.2 ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.