Text Mining with R: A Tidy Approach | 誠品線上

Text Mining with R: A Tidy Approach

作者 Julia Silge ; David Robinson
出版社 Ingram International Inc
商品描述 Text Mining with R: A Tidy Approach:,Muchofthedataavailabletodayisunstructuredandtext-heavy,makingitchallengingforanalyststoapplytheirusualdatawranglingandvis

內容簡介

內容簡介 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 NLPUse sentiment analysis to mine the emotional content of textIdentify a document's most important terms with frequency measurementsExplore relationships and connections between words with the ggraph and widyr packagesConvert back and forth between R's tidy and non-tidy text formatsUse topic modeling to classify document collections into natural groupsExamine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages

作者介紹

作者介紹 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.

商品規格

書名 / Text Mining with R: A Tidy Approach
作者 / Julia Silge ; David Robinson
簡介 / Text Mining with R: A Tidy Approach:,Muchofthedataavailabletodayisunstructuredandtext-heavy,makingitchallengingforanalyststoapplytheirusualdatawranglingandvis
出版社 / Ingram International Inc
ISBN13 / 9781491981658
ISBN10 /
EAN / 9781491981658
誠品26碼 /
尺寸 / 23.1X17.5X1.0CM
重量(g) / 272.2
語言 / 3:英文
尺寸 / 23.1X17.5X1.0CM
裝訂 / P:平裝
頁數 / 194
級別 / N:無

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