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You're reading from  Python Web Scraping Cookbook

Product typeBook
Published inFeb 2018
Reading LevelBeginner
PublisherPackt
ISBN-139781787285217
Edition1st Edition
Languages
Python
Tools
Scrapy
Concepts
Data Mining
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Author (1)
Michael Heydt
Michael Heydt
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Michael Heydt

Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless Thingies , focuses on IoT development and connecting everything with everything. Michael is the author of numerous articles, papers, and books, such as D3.js By Example, Instant Lucene. NET, Learning Pandas, and Mastering Pandas for Finance, all by Packt. Michael is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.
Read more about Michael Heydt

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Determining and removing stop words

Stop words are common words that, in a natural language processing situation, do not provide much contextual meaning. These words are often the most common words in a language. These tend to, at least in English, be articles and pronouns, such as I, me, the, is, which, who, at, among others. Processing of meaning in documents can often be facilitated by removal of these words before processing, and hence many tools support this ability. NLTK is one of these, and comes with support for stop word removal for roughly 22 languages.

How to do it

Proceed with the recipe as follows (code is available in 07/06_freq_dist.py):

  1. The following demonstrates stop word removal using NLTK. First,...
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Python Web Scraping Cookbook
Published in: Feb 2018Publisher: PacktISBN-13: 9781787285217
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Michael Heydt

Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless Thingies , focuses on IoT development and connecting everything with everything. Michael is the author of numerous articles, papers, and books, such as D3.js By Example, Instant Lucene. NET, Learning Pandas, and Mastering Pandas for Finance, all by Packt. Michael is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.
Read more about Michael Heydt

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