929285Text Mining with Rhttps://www.gandhi.com.mx/text-mining-with-r/phttps://gandhi.vtexassets.com/arquivos/ids/867308/9080ae89-ee73-4a4d-9869-2b80b2abd2d9.jpg?v=638336543698400000327454MXNOReilly MediaInStock/Ebooks/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, youll 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. Youll 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. Youll 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.<ul><li>Learn how to apply the tidy text format to NLP</li><li>Use sentiment analysis to mine the emotional content of text</li><li>Identify a documents most important terms with frequency measurements</li><li>Explore relationships and connections between words with the ggraph and widyr packages</li><li>Convert back and forth between Rs tidy and non-tidy text formats</li><li>Use topic modeling to classify document collections into natural groups</li><li>Examine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages</li></ul>...922981Text Mining with R327454https://www.gandhi.com.mx/text-mining-with-r/phttps://gandhi.vtexassets.com/arquivos/ids/867308/9080ae89-ee73-4a4d-9869-2b80b2abd2d9.jpg?v=638336543698400000InStockMXN99999DIEbook20179781491981603_W3siaWQiOiI1ZGRjM2FmMC0yYjZkLTQ5ZjYtYmM4MS1mMWFkYWFiYjUxZTgiLCJsaXN0UHJpY2UiOjQ1NCwiZGlzY291bnQiOjEyNywic2VsbGluZ1ByaWNlIjozMjcsImluY2x1ZGVzVGF4Ijp0cnVlLCJwcmljZVR5cGUiOiJXaG9sZXNhbGUiLCJjdXJyZW5jeSI6Ik1YTiIsImZyb20iOiIyMDI0LTA1LTIyVDA1OjAwOjAwWiIsInJlZ2lvbiI6Ik1YIiwiaXNQcmVvcmRlciI6ZmFsc2V9XQ==9781491981603_pMuch 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, youll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like emggraph/em and emdplyr/em. Youll learn how tidytext and other tidy tools in R can make text analysis easier and more effective./ppThe authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. Youll 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./pulliLearn how to apply the tidy text format to NLP/liliUse sentiment analysis to mine the emotional content of text/liliIdentify a documents most important terms with frequency measurements/liliExplore relationships and connections between words with the emggraph/em and emwidyr/em packages/liliConvert back and forth between Rs tidy and non-tidy text formats/liliUse topic modeling to classify document collections into natural groups/liliExamine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages/li/ul(*_*)9781491981603_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, youll 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. Youll 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. Youll 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.<ul><li>Learn how to apply the tidy text format to NLP</li><li>Use sentiment analysis to mine the emotional content of text</li><li>Identify a documents most important terms with frequency measurements</li><li>Explore relationships and connections between words with the ggraph and widyr packages</li><li>Convert back and forth between Rs tidy and non-tidy text formats</li><li>Use topic modeling to classify document collections into natural groups</li><li>Examine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages</li></ul>...9781491981603_OReilly Medialibro_electonico_4efd1d00-cde9-380b-8f67-e410e389e4b7_9781491981603;9781491981603_9781491981603David RobinsonInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/oreilly-epub-94990999-1027-4047-a6bd-af2ac0274a31.epub2017-06-12T00:00:00+00:00OReilly Media