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Natural Language Processing: Python and NLTK

You're reading from   Natural Language Processing: Python and NLTK Learn to build expert NLP and machine learning projects using NLTK and other Python libraries

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Product type Course
Published in Nov 2016
Publisher Packt
ISBN-13 9781787285101
Length 702 pages
Edition 1st Edition
Languages
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Authors (5):
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Iti Mathur Iti Mathur
Author Profile Icon Iti Mathur
Iti Mathur
Jacob Perkins Jacob Perkins
Author Profile Icon Jacob Perkins
Jacob Perkins
Deepti Chopra Deepti Chopra
Author Profile Icon Deepti Chopra
Deepti Chopra
Nitin Hardeniya Nitin Hardeniya
Author Profile Icon Nitin Hardeniya
Nitin Hardeniya
Nisheeth Joshi Nisheeth Joshi
Author Profile Icon Nisheeth Joshi
Nisheeth Joshi
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Toc

Chapter 8. Information Retrieval – Accessing Information

Information retrieval is one of the many applications of natural language processing. Information retrieval may be defined as the process of retrieving information (for example, the number of times the word Ganga has appeared in the document) corresponding to a query that has been made by the user.

This chapter will include the following topics:

  • Introducing information retrieval
  • Stop word removal
  • Information retrieval using a vector space model
  • Vector space scoring and query operator interactions
  • Developing an IR system using latent semantic indexing
  • Text summarization
  • Question-answering system

Introducing information retrieval

Information retrieval may be defined as the process of retrieving the most suitable information as a response to the query being made by the user. In information retrieval, the search is performed based on metadata or context-based indexing. One example of information retrieval is Google Search in which...

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