{"title":"在特征层次上识别在线产品评论的意见导向:一种修剪方法","authors":"Nilanshi Chauhan, Pardeep Singh","doi":"10.4018/IJISMD.2017040106","DOIUrl":null,"url":null,"abstract":"Thisarticledescribeshowe-commercehasbecomesovastthatalmosteveryproductandservice canbepurchasedonline, tobedeliveredatourdoorsteps.Thishas led to a striking increase in thenumberofonlinecustomers. Inanattempt tomake theonlineshoppingmoreappealingand transparenttotheonlinecustomers, thee-retailersallowtheircustomerstoexpresstheiropinion aboutthepurchasedproductsandservices.Recently,analysisofsuchonlinereviewshasbecomean activetopicofresearch.Thisisbecauseitisofimmenseconcerntovariousstakeholdersvs.online merchants,potentialcustomersandthemanufacturersoftheparticularproductorserviceproviders. Thepresentarticleaddressestheproblemofsummarizationofsuchopinionsexpressedonlineand aimstocreateanorganizedfeature-basedsummaryasasolution.Theproposedsystemdependson thefrequencyofoccurrencesofthepotentialfeatures.Anumberofpruningmethodsareapplied inordertoobtainthefinalfeaturesetandsentimentanalysishasbeendoneforeachsuchfeature. KeywORDS Feature Extraction, Feature Pruning, Opinion Words, Sentiment Analysis, Summarization","PeriodicalId":289800,"journal":{"name":"Int. J. Inf. Syst. Model. Des.","volume":"178 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Identifying the Opinion Orientation of Online Product Reviews at Feature Level: A Pruning Approach\",\"authors\":\"Nilanshi Chauhan, Pardeep Singh\",\"doi\":\"10.4018/IJISMD.2017040106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Thisarticledescribeshowe-commercehasbecomesovastthatalmosteveryproductandservice canbepurchasedonline, tobedeliveredatourdoorsteps.Thishas led to a striking increase in thenumberofonlinecustomers. Inanattempt tomake theonlineshoppingmoreappealingand transparenttotheonlinecustomers, thee-retailersallowtheircustomerstoexpresstheiropinion aboutthepurchasedproductsandservices.Recently,analysisofsuchonlinereviewshasbecomean activetopicofresearch.Thisisbecauseitisofimmenseconcerntovariousstakeholdersvs.online merchants,potentialcustomersandthemanufacturersoftheparticularproductorserviceproviders. Thepresentarticleaddressestheproblemofsummarizationofsuchopinionsexpressedonlineand aimstocreateanorganizedfeature-basedsummaryasasolution.Theproposedsystemdependson thefrequencyofoccurrencesofthepotentialfeatures.Anumberofpruningmethodsareapplied inordertoobtainthefinalfeaturesetandsentimentanalysishasbeendoneforeachsuchfeature. KeywORDS Feature Extraction, Feature Pruning, Opinion Words, Sentiment Analysis, Summarization\",\"PeriodicalId\":289800,\"journal\":{\"name\":\"Int. J. Inf. Syst. Model. Des.\",\"volume\":\"178 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Inf. Syst. Model. Des.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJISMD.2017040106\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Inf. Syst. Model. Des.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJISMD.2017040106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Identifying the Opinion Orientation of Online Product Reviews at Feature Level: A Pruning Approach
Thisarticledescribeshowe-commercehasbecomesovastthatalmosteveryproductandservice canbepurchasedonline, tobedeliveredatourdoorsteps.Thishas led to a striking increase in thenumberofonlinecustomers. Inanattempt tomake theonlineshoppingmoreappealingand transparenttotheonlinecustomers, thee-retailersallowtheircustomerstoexpresstheiropinion aboutthepurchasedproductsandservices.Recently,analysisofsuchonlinereviewshasbecomean activetopicofresearch.Thisisbecauseitisofimmenseconcerntovariousstakeholdersvs.online merchants,potentialcustomersandthemanufacturersoftheparticularproductorserviceproviders. Thepresentarticleaddressestheproblemofsummarizationofsuchopinionsexpressedonlineand aimstocreateanorganizedfeature-basedsummaryasasolution.Theproposedsystemdependson thefrequencyofoccurrencesofthepotentialfeatures.Anumberofpruningmethodsareapplied inordertoobtainthefinalfeaturesetandsentimentanalysishasbeendoneforeachsuchfeature. KeywORDS Feature Extraction, Feature Pruning, Opinion Words, Sentiment Analysis, Summarization
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