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Item Details
| Title:
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TEXT MINING WITH R
A TIDY APPROACH |
| By: |
Julia Silge, David Robinson |
| Format: |
Paperback |
| List price:
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£31.99 |
| Our price: |
£23.35 |
| Discount: |
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| You save:
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£8.64 |
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| ISBN 10: |
1491981652 |
| ISBN 13: |
9781491981658 |
| Availability: |
Usually dispatched within 1-2 days.
 Delivery
rates
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| Stock: |
Currently 2 available |
| Publisher: |
O'REILLY MEDIA, INC, USA |
| Pub. date: |
27 June, 2017 |
| Pages: |
192 |
| Description: |
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. |
| 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 |
| Publication: |
US |
| Imprint: |
O'Reilly Media, Inc, USA |
| Returns: |
Returnable |
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