Text mining in practice with R / Ted Kwartler.
Publisher: Hoboken, NJ : John Wiley & Sons, Ltd., 2017Copyright date: ©2017Description: 1 online resource (xii, 307 pages)Content type:- text
- computer
- online resource
- 9781119282105
- 1119282101
- 006.3/12 23
- QA76.9.D343 K94 2017
Includes bibliographical references and index.
What is text mining? -- Basics of text mining -- Common text mining visualizations -- Sentiment scoring -- Hidden structures : clustering, string distance, text vectors & topic modeling -- Document classification : finding clickbait from headlines -- Predictive modeling : using text for classifying & predicting outcomes -- The OpenNLP Project -- Text sources.
Description based on online resource; title from digital title page (viewed on July 26, 2017).
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