Text Mining with R - 9781491981658
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
Specifications
| Return Postage Will Be Paid By | Buyer |
| Returns Accepted | Returns Accepted |
| After Receiving The Item, Your Buyer Should Cancel The Purchase Within | 60 days |
| Book Title | Text Mining with R |
| Number Of Pages | 194 Pages |
| Language | English |
| Publication Name | Text Mining with R |
| Publication Year | 2017 |
| Subject | Computer Science |
| Item Height | 234 mm |
| Item Weight | 378 g |
| Type | Textbook |
| Item Width | 179 mm |
| Format | Paperback |
You will find that this textbook uses a modular structure for flexible learning.
