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1、LatentAspectRatingAnalysisonReviewTextData:ARatingRegressionApproachHongningWang,YueLu,ChengxiangZhaiDepartmentofComputerScienceUniversityofIllinoisatUrbana-ChampaignUrbanaIL,61801USA{wang296,yuelu2,czhai}@uiuc.eduABSTRACTtoalleviatethisproblemincludingextractinginformationfromreviews[18
2、,16,26],summarizingusers'opinions,cat-Inthispaper,wede¯neandstudyanewopinionatedtextegorizingreviewsaccordingtoopinionpolarities[20,6,7],dataanalysisproblemcalledLatentAspectRatingAnalysisandextractingcomparativesentencesfromreviews[12,13].(LARA),whichaimsatanalyzingopinionsexpressedabou
3、tNevertheless,withthecurrenttechniques,itisstillhardforanentityinanonlinereviewattheleveloftopicalaspectsuserstoeasilydigestandexploitthelargenumberofreviewstodiscovereachindividualreviewer'slatentopiniononeachduetoinadequatesupportforunderstandingeachindivid-aspectaswellastherelativeemp
4、hasisondi®erentaspectsualreviewer'sopinionsatthe¯ne-grainedleveloftopicalwhenformingtheoveralljudgmentoftheentity.Wepro-aspects.poseanovelprobabilisticratingregressionmodeltosolvethisnewtextminingprobleminageneralway.EmpiricalHotelNameFourSeasonsHotelGeorgeVParisexperimentsonahotelreview
5、datasetshowthatthepro-OverallRatingposedlatentratingregressionmodelcane®ectivelysolvetheReviewerIDBytrollydollySydneyproblemofLARA,andthatthedetailedanalysisofopin-Lovelylocation,however,for820eurosthiswasreallybadvalue.ionsattheleveloftopicalaspectsenabledbytheproposedTheroomwasnice,but
6、youcouldhavebeenanywhereintheworld-itfeltlikeachainhotelintheworstsense.Theroomwasmodelcansupportawiderangeofapplicationtasks,suchtiny!NormallyFourSeasonshavemindblowingserviceandReviewTextasaspectopinionsummarization,entityrankingbasedonalthoughtheywereniceitwasnotamazing.Wehadjustbeent
7、oClaridge'sinLondonwhichwasfantasicandhalftheprice.Itaspectratings,andanalysisofreviewersratingbehavior.wasn'tbad,butitwasn'tgreatandnotworththemoney.Acokewas10euros!Therewasnofreewireless-allinallveryaverage.CategoriesandSubjectDescriptorsH.3.3[InformationSearchandRetrie
