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Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit
Price: $59.99 – $43.23
(as of Dec 24,2024 03:49:16 UTC – Details)
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Publisher : O’Reilly Media; 1st edition (August 4, 2009)
Language : English
Paperback : 502 pages
ISBN-10 : 0596516495
ISBN-13 : 978-0596516499
Item Weight : 1.45 pounds
Dimensions : 7 x 1.2 x 9.19 inches
Customers say
Customers find the book useful and a good starting point for natural language processing. They appreciate the frequent code examples that make it easy to follow along and grasp new concepts. The book provides an overview of NLP, as well as reasonable proficiency in manipulating text and extracting information. However, some customers feel the content is somewhat out of date, with some of the code not working anymore.
AI-generated from the text of customer reviews
Natural Language Processing (NLP) is a fascinating field that involves the interaction between computers and human language. With the advancement of technology, NLP has become an essential tool for analyzing, processing, and understanding human language in a more efficient and accurate way.
One of the most popular libraries for NLP in Python is the Natural Language Toolkit (NLTK). NLTK is a powerful tool that provides a comprehensive suite of libraries and programs for symbolic and statistical natural language processing.
In this post, we will explore how to analyze text using NLTK in Python. We will cover topics such as tokenization, stemming, lemmatization, part-of-speech tagging, named entity recognition, and sentiment analysis.
By the end of this post, you will have a better understanding of how to use NLTK to perform various NLP tasks and extract valuable insights from text data. Stay tuned for more in-depth tutorials on NLP with Python and NLTK!
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