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Natural language processing with NLTK and python

 

Natural language processing with NLTK and python

GETTING STARTED
Natural language toolkit (NLTK) is the most popular library for natural language processing (NLP) which was written in Python and has a big community behind it. NLTK also is very easy to learn, actually, it's the easiest natural language processing (NLP) library that you'll use
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What you'll learn

  • Natural language processing with NLTK and python
  • tokenization
  • named entity extraction
  • chunking and chinking
  • text summarization
  • parts of speech tagging
  • N-grams

Requirements

  • students should have some experience with Python
  • students should be able to download and install NLTK

Description

This course is aimed at people who are new to natural language processing (NLP). The course has two main sections, the first section explains all of the main concepts such as tokenization, parts of speech tagging, named entity extraction and so on with examples and code, the second section looks at ideas like text summarization and sentiment analysis and how we can use the core concepts from part one to solve these problems.


Who this course is for:

  • people who are new to NLTK (Natural Language Tool Kit and natural language processing)
  • people who are new to natural language processing



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