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Mastering Text Mining with R

You're reading from   Mastering Text Mining with R Extract and recognize your text data

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Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781783551811
Length 258 pages
Edition 1st Edition
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Author (1):
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KUMAR ASHISH KUMAR ASHISH
Author Profile Icon KUMAR ASHISH
KUMAR ASHISH
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Toc

Latent semantic analysis

Latent Semantic Analysis (LSA) is a modeling technique that can be used to understand a given collection of documents. It also provides us with insights into the relationship between words in the documents, unravels the concealed structure in the document contents, and creates a group of suitable topics - each topic has information about the data variation that explains the context of the corpus. This modeling technique can come in handy in a variety of natural language processing or information retrieval tasks. LSA can filter out the noise features in the data and represent the data in a simpler form, and discover topics with high affinity.

The topics that are extracted from the collection of documents have the following properties:

  • The amount of similarity each topic has with each document in the corpus.
  • The amount of similarity each topic has with each term in the corpus.
  • It also provides a significance score that highlights the importance of the topic and the variance...
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