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Text Mining with R
Julia Silge
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Description for Text Mining with R
Paperback. 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. Num Pages: 150 pages. BIC Classification: UYQL. Category: (XV) Technical / Manuals. Dimension: 250 x 150 x 15. Weight in Grams: 666.
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 ... Read more
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 ... Read more
Product Details
Publisher
O´Reilly Media, Inc, USA
Format
Paperback
Publication date
2017
Condition
New
Number of Pages
194
Place of Publication
Sebastopol, United States
ISBN
9781491981658
SKU
V9781491981658
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2
About Julia Silge
Julia Silge is a data scientist at Datassist where her work involves analyzing and modeling complex data sets while communicating about technical topics with diverse audiences. She has a PhD in Astrophysics, as well as abiding affections for Jane Austen and making beautiful charts. Julia worked in academia and ed tech before moving into data science and discovering R. David ... Read more
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