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Text Mining with R: A Tidy Approach
O'Reilly Media
ISBN13:
9781491981658
$39.99
$36.08
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. Youll 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, youll 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
- | Author: Julia Silge
- | Publisher: O'Reilly Media
- | Publication Date: July 02, 2017
- | Number of Pages: 194 pages
- | Language: English
- | Binding: Paperback
- | ISBN-10: 1491981652
- | ISBN-13: 9781491981658
- Author:
- Julia Silge
- Publisher:
- O'Reilly Media
- Publication Date:
- July 02, 2017
- Number of pages:
- 194 pages
- Language:
- English
- Binding:
- Paperback
- ISBN-10:
- 1491981652
- ISBN-13:
- 9781491981658