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Natural Language Processing with Python
Natural Language Processing with Python

Natural Language Processing with Python: Master the NLTK library in Python from scratch!

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Profile Icon Tyler Edwards
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₱7042.99
Video Dec 2017 1hr 47mins 1st Edition
Video
₱7042.99
Subscription
Free Trial
Arrow left icon
Profile Icon Tyler Edwards
Arrow right icon
₱7042.99
Video Dec 2017 1hr 47mins 1st Edition
Video
₱7042.99
Subscription
Free Trial
Video
₱7042.99
Subscription
Free Trial

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Key benefits

  • Comprehensive guide showing how textual data can be analyzed using the Natural Language Toolkit (NLTK)
  • Build your own NLP applications, such as a sentiment analyzer, and learn how to carry out information extraction on text datasets
  • Discover how Natural Language Processing can be used to investigate contextual relationships in human language

Description

NLP, or Natural Language Processing, is a computational approach to communication. This course will get you up-and-running with the popular NLP platform called Natural Language Toolkit (NLTK) in no time. You will start off by preparing text for Natural Language Processing by cleaning and simplifying it. Then you will implement more complex algorithms to break this text down and uncover contextual relationships that reveal the meaning and content of the text. You will learn how to tokenize various parts of sentences, and how to analyze them. You will learn about semantic as well as the syntactic analysis of text. During this course, you will learn how to solve various ambiguities in processing human language. You will also gain experience with NLP using Python and will be introduced to a variety of useful tools in NLTK. Plus, you will have an opportunity to build your first NLP application! By the end of this course, you will have the skills and tools to begin solving problems in the growing field of Latent Semantic Analysis The code files and all related files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Natural-Language-Processing-with-Python-Video-

Who is this book for?

This course is intended for Python developers who wish to master Natural Language Processing and want to make their applications smarter by implementing NLP.

What you will learn

  • Install NLTK and implement basic NLP tasks
  • Learn part-of-speech tagging fundamentals
  • Understand stemming, lemmatization, and named-entity recognition
  • Create frequency distributions and analyze text categories
  • Implement functions for concordance, similarity, and dispersion plotting
  • Develop a Python sentiment analysis application for movie reviews
  • Classify user reviews as positive or negative using bag-of-words
  • Apply Latent Semantic Analysis for meaning extraction
  • Utilize Long Short Term Memory for sequential data analysis in NLP

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 29, 2017
Length: 1hr 47mins
Edition : 1st
Language : English
ISBN-13 : 9781787286085
Category :
Languages :
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Product Details

Publication date : Dec 29, 2017
Length: 1hr 47mins
Edition : 1st
Language : English
ISBN-13 : 9781787286085
Category :
Languages :
Concepts :
Tools :

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Table of Contents

4 Chapters
Getting Started with NLP in Python Chevron down icon Chevron up icon
More on NLTK Chevron down icon Chevron up icon
Building Your Own NLP Application Using Python NLTK Chevron down icon Chevron up icon
Latent Semantic Analysis Chevron down icon Chevron up icon
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