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Python文本分析
book

Python文本分析

by Jens Albrecht, Sidharth Ramachandran, Christian Winkler
August 2022
Intermediate to advanced
441 pages
11h 26m
Chinese
China Electric Power Press Ltd.
Content preview from Python文本分析
准备统计和机器学习的文本数据
113
显然,上述文本包含许多标签,比如
<lb>
(换行符)和
<tab>
等。我们通过第
1
介绍的单词计数,再结合一个简单的正则表达式分词器,检查一下是否还有其他标签:
from blueprints.exploration import count_words
count_words(df, column='text', preprocess=lambda t: re.findall(r'<[\w/]*>', t))
1 The Pandas operations map and apply were explained in “Blueprint: Building a Simple Text Preprocessing
Pipeline” on page 10.
2 Libraries specialized in HTML data cleaning such as Beautiful Soup were introduced in Chapter 3.
characters. However, it doesn’t need to be perfect; it just needs to be good enough to
indicate potential quality issues.
For the Reddit data, we can get the most “impure” records with the following two
statemen ...
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Publisher Resources

ISBN: 9787519864446