Identifying the Opinion Orientation of Online Product Reviews at Feature Level: A Pruning Approach

Int. J. Inf. Syst. Model. Des. Pub Date : 2017-04-01 DOI:10.4018/IJISMD.2017040106

Nilanshi Chauhan, Pardeep Singh

{"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}

引用次数: 1

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

查看原文本刊更多论文

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

Thisarticledescribeshowe-commercehasbecomesovastthatalmosteveryproductandservice canbepurchasedonline, tobedeliveredatourdoorsteps。Thishas导致了thenumberofonlinecustomers的惊人增长。> Inanattempt tomake theonlineshoppingmoreappealingand transparenttotheonlinecustomers， > thee-retailersallowtheircustomerstoexpresstheiropinion aboutthepurchasedproductsandservices。Recently，analysisofsuchonlinereviewshasbecomean activetopicofresearch.Thisisbecauseitisofimmenseconcerntovariousstakeholdersvs。online商家，potentialcustomersandthemanufacturersoftheparticularproductorserviceproviders。Thepresentarticleaddressestheproblemofsummarizationofsuchopinionsexpressedonlineand aimstocreateanorganizedfeature-basedsummaryasasolution。Theproposedsystemdependson thefrequencyofoccurrencesofthepotentialfeatures。Anumberofpruningmethodsareapplied inordertoobtainthefinalfeaturesetandsentimentanalysishasbeendoneforeachsuchfeature。关键词特征提取，特征修剪，意见词，情感分析，总结

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Int. J. Inf. Syst. Model. Des.

自引率

0.00%

发文量