首页    期刊浏览 2025年06月10日 星期二
登录注册

文章基本信息

  • 标题:ASPECT EXTRACTION & SEGMENTATION IN OPINION MINING
  • 本地全文:下载
  • 作者:Mily Lal ; Kavita Asnani
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2014
  • 卷号:3
  • 期号:5
  • 页码:5873-5878
  • 出版社:IJECS
  • 摘要:Opinion mining or sentiment analysis is the computational study of people’s opinions, appraisals, attitudes, and emotionstowards their aspects. Opinion mining is one of the significant areas of research in Web mining and Natural Language Processing (NLP)recently. With the growth of e-commerce, web documents are increasingly being used for decision making by individuals and organizations.This paper focuses on the identification of aspects related to customer opinions. Most of the recent works concentrate on explicit aspectsonly. Very few of them have dealt with implicit aspects. Here both explicit as well as implicit aspect is considered. A multi aspect reviewsentence will be segmented into multiple single aspects by segmentation because different opinions can be expressed on multiple aspectssimultaneously in the same review. Opinions are polled to determine positive or negative comments for efficient decision making
  • 关键词:aspect; aspect extraction; opinion mining; opinion word; opinion summary; segmentation; Sentiment analysis
国家哲学社会科学文献中心版权所有