• Title: Text Mining with R: A Tidy Approach
• Author(s) Julia Silge and David Robinson
• Publisher: O'Reilly Media; 1 edition (July 2, 2017); eBook (Creative Commons Licensed, 2024-02-02)
• License: CC BY-NC-SA 3.0 US
• Paperback: 194 pages
• eBook: HTML and PDF
• Language: English
• ISBN-10: 1491981652
• ISBN-13: 978-1491981658
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Book Description

Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.

• Julia Silge is a data scientist at Stack Overflow;
• David Robinson is a data scientist at Stack Overflow with a PhD in Quantitative and Computational Biology from Princeton University.

• Amazon

• Information Retrieval (IR) and Search Engines
• Data Analysis and Data Mining
• R Programming
• Algorithms and Data Structures
• Computational Linguistics and Natural Language Processing
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