Aspect Aware Optimized Opinion Analysis of Online Product Reviews

S. Das, B. Chakraborty
{"title":"Aspect Aware Optimized Opinion Analysis of Online Product Reviews","authors":"S. Das, B. Chakraborty","doi":"10.1109/ICAWST.2018.8517172","DOIUrl":null,"url":null,"abstract":"Now-a-days social media and micro blogging sites are the most popular form of communication. The most useful application on these platforms is Opinion mining or Sentiment classification of the users. Here, in this work an automated method has been proposed to analyze and summarize opinions on a product in a structured, product aspect based manner. The proposed method will help future potential buyers to acquire complete idea, from a comprehensible representation of the reviews, without going through all the reviews manually.","PeriodicalId":277939,"journal":{"name":"2018 9th International Conference on Awareness Science and Technology (iCAST)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 9th International Conference on Awareness Science and Technology (iCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAWST.2018.8517172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Now-a-days social media and micro blogging sites are the most popular form of communication. The most useful application on these platforms is Opinion mining or Sentiment classification of the users. Here, in this work an automated method has been proposed to analyze and summarize opinions on a product in a structured, product aspect based manner. The proposed method will help future potential buyers to acquire complete idea, from a comprehensible representation of the reviews, without going through all the reviews manually.
面向方面的在线产品评论优化意见分析
如今,社交媒体和微博网站是最流行的交流方式。这些平台上最有用的应用是用户的意见挖掘或情感分类。在这里,在这项工作中,提出了一种自动化的方法,以结构化的、基于产品方面的方式分析和总结对产品的意见。所提出的方法将帮助未来的潜在买家获得完整的想法,从一个可理解的评论表示,而不需要手动浏览所有的评论。
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信