Text Mining with R Paperback / softback
by Julia Silge, David Robinson
Paperback / softback
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Description
Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles.
This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem.
You'll discover how tidy data principles can make text mining easier, more effective, and consistent by employing tools already in wide use.
Text Mining with R shows you how to manipulate, summarize, and visualize the characteristics of text, sentiment analysis, tf-idf, and topic modeling.
Along with tidy data methods, you'll also examine several beginning-to-end tidy text analyses on data sources from Twitter to NASA datasets.
These analyses bring together multiple text mining approaches covered in the book.
Get real-world examples for implementing text mining using tidy R package Understand natural language processing concepts like sentiment analysis, tf-idf, and topic modeling Learn how to analyze unstructured, text-heavy data using R language and ecosystem
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In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:194 pages
- Publisher:O'Reilly Media
- Publication Date:01/08/2017
- Category:
- ISBN:9781491981658
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- PDF from £21.59
Information
-
In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:194 pages
- Publisher:O'Reilly Media
- Publication Date:01/08/2017
- Category:
- ISBN:9781491981658