LEADER 03741nam 22006495 450 001 9910483489703321 005 20200704085819.0 010 $a981-15-5043-3 024 7 $a10.1007/978-981-15-5043-0 035 $a(CKB)4100000011254818 035 $a(MiAaPQ)EBC6202715 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 LEADER 01047nam2 22002533i 450 001 VAN00129993 005 20240806100830.519 010 $a978-88-692-3453-8 100 $a20200709d2019 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aˆ2.: ‰Garanzie dei diritti e qualità dei servizi 210 $aBologna$cBononia University Press$d2019 215 $a764 p.$d24 cm. 461 1$1001VAN00129991$12001 $aDiritto amministrativo e società civile$1210 $aBologna$cBononia University Press$d2018$1215 $aVolumi$d24 cm.$v2 620 $dBologna$3VANL000003 712 $a*Bononia university $3VANV110276$4650 801 $aIT$bSOL$c20250725$gRICA 899 $aBIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$1IT-CE0105$2VAN00 912 $aVAN00129993 950 $aBIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$d00CONS IV.Ea.72 2 $e00UBG5278 20200709 996 $aGaranzie dei diritti e qualità dei servizi$91753179 997 $aUNICAMPANIA