P R.E S E N T S              .

Text Mining With R

DATE: 2018-01-26  SIZE: 10.36 MB   DISKS: 2x 10MB     PAGES: n/a

PUBLISHER: O'Reilly Media                    GENRE:

AUTHOR: Julia Silge, David Robinson

FORMAT: EPUB  PROTECTION: DRM  EDITION: n/a

URL: https://is.gd/h7zV9j

LANGUAGE: English   ISBN: 9781491981658

: Tackle a variety of tasks in natural language processing by learning how t :
: 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 show :
: 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 o :
: 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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