Text Processing Using NLTK in Python [Video]

Text Processing Using NLTK in Python [Video]

Krishna Bhavsar, Naresh Kumar, Pratap Dangeti

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Video Description

Natural Language Processing (NLP) is a feature of Artificial Intelligence concerned with the interactions between computers and human (natural) languages. This course includes unique videos that will teach you various aspects of performing Natural Language Processing with NLTK—the leading Python platform for the task.

In this course, you will learn what WordNet is and explore its features and usage. It will teach how to extract raw text from web sources and introduce some critical pre-processing steps. You will also get familiarized with the concept of pattern matching as a way to do text analysis.

By the end of the course, you will be confident & have covered various solutions, covering natural language understanding, Natural Language Processing, and syntactic analysis.

All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/Text-Processing-using-NLTK-in-Python

Style and Approach

This video course takes a solution-based approach where every topic is explicated with the help of a real-world example.

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What You Will Learn

  • Import, access external corpus & explore frequency distribution of the text in corpus file
  • Learn WordNet usage and a couple of simple application assignments using WordNet
  • Read word & text files and create user-defined corpus
  • Learn HTML parsing using BeautifulSoup
  • Perform tokenization, stemming, lemmatization, spelling corrections, stop words removals, and more
  • Understand Regular expressions for character matching 
  • Write your own Regex tokenizer & stemmer using RNNs

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Video Details

ISBN 139781789348989
Course Length1 hour 24 minutes
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