Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

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Bibliographic Details

Title: Text Mining with R: A Tidy Approach
Publisher: O'Reilly Media
Publication Date: 2017
Language: English
ISBN 10: 1491981652
ISBN 13: 9781491981658
Binding: Soft cover
Condition: Very Good

About this title

Synopsis

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.

The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You’ll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media.

Learn how to apply the tidy text format to NLP
Use sentiment analysis to mine the emotional content of text
Identify a document’s most important terms with frequency measurements
Explore relationships and connections between words with the ggraph and widyr packages
Convert back and forth between R’s tidy and non-tidy text formats
Use topic modeling to classify document collections into natural groups
Examine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages

About the Authors

Julia Silge is a data scientist at Stack Overflow; her work involves analyzing complex datasets and communicating about technical topics with diverse audiences. She has a PhD in astrophysics and loves Jane Austen and making beautiful charts. Julia worked in academia and ed tech before moving into data science and discovering the statistical programming language R.

David Robinson is a data scientist at Stack Overflow with a PhD in Quantitative and Computational Biology from Princeton University. He enjoys developing open source R packages, including broom, gganimate, fuzzyjoin and widyr, as well as blogging about statistics, R, and text mining on his blog, Variance Explained.

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With 3 stores less than 1 hour outside the DC/Metropolitan area (1 in Gaithersburg, 1 in Frederick and 1 in Hagerstown, MD), we have the largest selection of books in the tri-state area. Wonder Book and Video has been in business since 1980 and online since 1997. We have over 1 Million books for sale on our website and another 1 Million books for sale in our 3 locations. Items on Abe are not necessarily in stock at our retail locations. Please do not call the stores to place orders for Abe Books sales. We have a very active online inventory and as such, we can receive multiple orders for the same item. We fill those orders on a first come first serve basis, but will refund promptly any items that are out of stock. Since 1980 it has always been about the books. ALL kinds of books from 95 cent children's paperbacks to five figure rare and collectibles. A merging of the old and new is where we started, and it is where we are today. Our retail stores have always been places where a reader can rush in looking for a title needed for a term paper that is due the next day, or where bibliophiles can get lost "in the stacks" for as long as they wish. In 2002 USAToday recognized us as "1 of 10 Great Old Bookstores", and we have been featured in numerous other newspaper and TV stories including Washington Post and CSpan. Members ABAA, ILAB.

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