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You're reading from  Python Web Scraping Cookbook

Product typeBook
Published inFeb 2018
Reading LevelBeginner
PublisherPackt
ISBN-139781787285217
Edition1st Edition
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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.
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Performing lemmatization

Lemmatization is a more methodical process of converting words to their base. Where stemming generally just chops off the ends of words, lemmatization takes into account the morphological analysis of words, evaluating the context and part of speech to determine the inflected form, and makes a decision between different rules to determine the root.

How to do it

Lemmatization can be utilized in NTLK using the WordNetLemmatizer. This class uses the WordNet service, an online semantic database to make its decisions. The code in the 07/04_lemmatization.py file extends the previous stemming example to also calculate the lemmatization of each word. The code of importance is the following:

from nltk.stem...
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Python Web Scraping Cookbook
Published in: Feb 2018Publisher: PacktISBN-13: 9781787285217

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