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010   $a981-15-5043-3
024 7 $a10.1007/978-981-15-5043-0
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035   $a(DE-He213)978-981-15-5043-0
035   $a(PPN)248395602
035   $a(EXLCZ)994100000011254818
100   $a20200519d2020      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aOpinion Mining in Information Retrieval /$fby Surbhi Bhatia, Poonam Chaudhary, Nilanjan Dey
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (119 pages)
225 1 $aSpringerBriefs in Computational Intelligence,$x2625-3704
311   $a981-15-5042-5 
320   $aIncludes bibliographical references.
327   $aChapter 1. Introduction to Opinion Mining -- Chapter 2. Opinion Score Mining System -- Chapter 3. Opinion Retrieval -- Chapter 4. Aspect Extraction -- Chapter 5. Opinion Classification -- Chapter 6. Opinion Summarization -- Chapter 7. Conclusions.
330   $aThis book discusses in detail the latest trends in sentiment analysis,focusing on ?how online reviews and feedback reflect the opinions of users and have led to a major shift in the decision-making process at organizations.? Social networking has become essential in today?s society. In the past, people?s decisions to buy certain products (and companies? efforts to sell them) were largely based on advertisements, surveys, focus groups, consultants, and the opinions of friends and relatives. But now this is no longer limited to one?s circle of friends, family or small surveys;it has spread globally to online social media in the form of blogs, posts, tweets, social networking sites, review sites and so on. Though not always easy, the transition from surveys to social media is certainly lucrative. Business analytical reports have shown that many organizations have improved their sales, marketing and strategy, setting up new policies and making decisions based on opinion mining techniques. .
410  0$aSpringerBriefs in Computational Intelligence,$x2625-3704
606   $aComputational intelligence
606   $aMachine learning
606   $aArtificial intelligence
606   $aData mining
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aMachine Learning$3https://scigraph.springernature.com/ontologies/product-market-codes/I21010
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
615  0$aComputational intelligence.
615  0$aMachine learning.
615  0$aArtificial intelligence.
615  0$aData mining.
615 14$aComputational Intelligence.
615 24$aMachine Learning.
615 24$aArtificial Intelligence.
615 24$aData Mining and Knowledge Discovery.
676   $a006.312
700   $aBhatia$b Surbhi$4aut$4http://id.loc.gov/vocabulary/relators/aut$01225460
702   $aChaudhary$b Poonam$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aDey$b Nilanjan$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910483489703321
996   $aOpinion Mining in Information Retrieval$92845187
997   $aUNINA