Kwartler, Ted,  1978- <br/><br/>
Text mining in practice with R / 
Ted Kwartler. 
 - 1 online resource (xii, 307 pages) 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>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. 
<br/><br/><label>ISBN: </label>9781119282105 1119282101 
<br/><br/><label>Source: </label>1814CCE6-9BA1-4DA9-A502-1F2F6D4DB4F9  OverDrive, Inc.  http://www.overdrive.com 
<br/><br/><label>LCCN: </label>2017010584 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining.<br/>Text processing (Computer science)<br/>Data mining.<br/>Text processing (Computer science)<br/>COMPUTERS / General.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>QA76.9.D343  / K94 2017 
<br/><br/><label>Dewey Class. No.: </label>006.3/12