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007 cr n ;

008 170216s2017 nju sb 001 0 eng d;

010 a| 2017006983;

020 a| 9781119282013 (cloth);

035 a| (WaSeSS)ssj0001799505;

040 a| WaSeSS/DLCb| engc| WaSeSSd| WaSeSS;

042 a| pcc;

049 a| EREEa| NEHH;

050 00 a| QA76.9.D343b| K94 2017;

082 00 a| 006.3/122| 23;

100 1 a| Kwartler, Ted,d| 1978-?| UNAUTHORIZED;

245 10 a| Text mining in practice with Rh| [electronic resource] /c| Ted Kwartler.;

260 a| Hoboken, NJ :b| John Wiley & Sons,c| 2017.;

263 a| 1707;

300 a| pages cm;

504 a| Includes bibliographical references and index.;

505 0 a| 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.;

506 a| Available only to authorized users.;

538 a| Mode of access: World Wide Web;

650 0 a| Data mining.=| ^A408868;

650 0 a| Text processing (Computer science)=| ^A166569;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=4860512;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 5148418;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5148418-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 8/8/2019x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5148418-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 8/8/2019x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5148418-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 8/8/2019x| EBOOKz| JERESOURCE;

Text mining in practice with R / Ted Kwartler.

Author/creator	Kwartler, Ted, 1978-
Format	Electronic
Publication Info	Hoboken, NJ : John Wiley & Sons, 2017.
Description	pages cm
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Data mining. Text processing (Computer science)

Contents	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.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2017006983
ISBN	9781119282013 (cloth)

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Text mining in practice with R / Ted Kwartler.

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