{"product_id":"text-mining-with-r-a-tidy-approach-9781491981658","title":"Text Mining with R: A Tidy Approach","description":"\u003cp\u003eMuch 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 \u003ci\u003eggraph\u003c\/i\u003e and \u003ci\u003edplyr\u003c\/i\u003e. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn how to apply the tidy text format to NLP\u003c\/li\u003e\n\u003cli\u003eUse sentiment analysis to mine the emotional content of text\u003c\/li\u003e\n\u003cli\u003eIdentify a document's most important terms with frequency measurements\u003c\/li\u003e\n\u003cli\u003eExplore relationships and connections between words with the \u003ci\u003eggraph\u003c\/i\u003e and \u003ci\u003ewidyr\u003c\/i\u003e packages\u003c\/li\u003e\n\u003cli\u003eConvert back and forth between R's tidy and non-tidy text formats\u003c\/li\u003e\n\u003cli\u003eUse topic modeling to classify document collections into natural groups\u003c\/li\u003e\n\u003cli\u003eExamine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e O'Reilly Media\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/11\/2017\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781491981658\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 194\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.60lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.10h x 6.90w x 0.40d","brand":"Julia Silge, David Robinson","offers":[{"title":"Default Title","offer_id":36653576355996,"sku":"9781491981658","price":33.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0473\/0804\/6492\/products\/img_fcb1a4ba-f410-46aa-8727-11ddabca1e83.jpg?v=1603881954","url":"https:\/\/pastforward.org\/products\/text-mining-with-r-a-tidy-approach-9781491981658","provider":"Past Forward","version":"1.0","type":"link"}