Description: Text Mining with RAuthor(s): Julia Silge, David Robinson Format: Paperback Publisher: O'Reilly Media, United States Imprint: O'Reilly Media ISBN-13: 9781491981658, 978-1491981658 Synopsis 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
Price: 22.54 GBP
Location: Aldershot
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Book Title: Text Mining with R
Number of Pages: 194 Pages
Language: English
Publication Name: Text Mining with R
Publisher: O'reilly Media, INC International Concepts USA
Publication Year: 2017
Subject: Computer Science
Item Height: 234 mm
Item Weight: 378 g
Type: Textbook
Author: David Robinson, Julia Silge
Item Width: 179 mm
Format: Paperback
