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000 namKi
001 2210080852472
003 OCoLC
005 20190103135239
006 m d
007 cr cnu---unuuu
008 180816s2018 pau ob 001 0 eng d
020 a9781522561187q(electronic bk.)
020 a1522561188q(electronic bk.)
020 z9781522561170
020 z152256117X
035 a1869089b(NT)
035 a(OCoLC)1048608875
040 aNbengerdaepncNd221008
050 aQA76.9.D343bE9984 2019eb
072 aCOMx0000002bisacsh
082 a006.3/12223
245 00 aExtracting knowledge from opinion mining /cRashmi Agrawal and Neha Gupta, editors.
260 aHershey PA :bEngineering Science Reference, an imprint of IGI Global,c[2019]
300 a1 online resource.
336 atextbtxt2rdacontent
337 acomputerbc2rdamedia
338 aonline resourcebcr2rdacarrier
504 aIncludes bibliographical references and index.
520 a"This book covers the key topics of opinion mining and sentiment analysis. It includes future trends and research directions related to opinion supervised and unsupervised approaches for opinion mining, machine learning techniques, deep learning and opinion spam detection. The book also includes some open source tools for opinion mining and sentiment analysis"--cProvided by publisher.
588 aPrint version record.
590 aAdded to collection customer.56279.3
650 aData mining.
650 aDiscourse analysisxData processing.
650 aLanguage and emotions.
650 aPublic opinion.
650 aData mining.2fast0(OCoLC)fst00887946
650 aDiscourse analysisxData processing.2fast0(OCoLC)fst00894934
650 aLanguage and emotions.2fast0(OCoLC)fst00992149
650 aPublic opinion.2fast0(OCoLC)fst01082785
650 aCOMPUTERS / General2bisacsh
655 aElectronic books.
700 aAgrawal, Rashmi,eeditor.
700 aGupta, Neha,eeditor.
776 iPrint version:tExtracting knowledge from opinion miningz9781522561170w(DLC) 2018001725w(OCoLC)1025389535
856 3EBSCOhostuhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1869089
938 aEBSCOhostbEBSCn1869089
994 a92bN
Extracting knowledge from opinion mining /Rashmi Agrawal and Neha Gupta, editors
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Extracting knowledge from opinion mining /Rashmi Agrawal and Neha Gupta, editors
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1 online resource
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Includes bibliographical references and index. / "This book covers the key topics of opinion mining and sentiment analysis. It includes future trends and research directions related to opinion supervised and unsupervised approaches for opinion mining, machine learning techniques, deep learning and opinion spam detection. The book also includes some open source tools for opinion mining and sentiment analysis"
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