Text mining with R: a tidy approach
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 d...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media
2017
|
| Ausgabe: | First edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781491981641/?ar |
| Zusammenfassung: | 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.-- |
| Beschreibung: | Includes bibliographical references and index. - Online resource; title from PDF title page (EBSCO, viewed June 20, 2017) |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781491981627 1491981628 9781491981603 1491981601 1491981652 9781491981658 |
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| spelling | Silge, Julia VerfasserIn aut Text mining with R a tidy approach Julia Silge and David Robinson First edition. Sebastopol, CA O'Reilly Media 2017 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from PDF title page (EBSCO, viewed June 20, 2017) 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.-- R (Computer program language) Data mining Discourse analysis Data processing Natural language processing (Computer science) Data Mining Natural Language Processing R (Langage de programmation) Exploration de données (Informatique) Traitement automatique des langues naturelles MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Discourse analysis ; Data processing Robinson, David VerfasserIn aut |
| spellingShingle | Silge, Julia Robinson, David Text mining with R a tidy approach R (Computer program language) Data mining Discourse analysis Data processing Natural language processing (Computer science) Data Mining Natural Language Processing R (Langage de programmation) Exploration de données (Informatique) Traitement automatique des langues naturelles MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Discourse analysis ; Data processing |
| title | Text mining with R a tidy approach |
| title_auth | Text mining with R a tidy approach |
| title_exact_search | Text mining with R a tidy approach |
| title_full | Text mining with R a tidy approach Julia Silge and David Robinson |
| title_fullStr | Text mining with R a tidy approach Julia Silge and David Robinson |
| title_full_unstemmed | Text mining with R a tidy approach Julia Silge and David Robinson |
| title_short | Text mining with R |
| title_sort | text mining with r a tidy approach |
| title_sub | a tidy approach |
| topic | R (Computer program language) Data mining Discourse analysis Data processing Natural language processing (Computer science) Data Mining Natural Language Processing R (Langage de programmation) Exploration de données (Informatique) Traitement automatique des langues naturelles MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Discourse analysis ; Data processing |
| topic_facet | R (Computer program language) Data mining Discourse analysis Data processing Natural language processing (Computer science) Data Mining Natural Language Processing R (Langage de programmation) Exploration de données (Informatique) Traitement automatique des langues naturelles MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Discourse analysis ; Data processing |
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