文章基本信息

标题：Methodological Study Of Opinion Mining And Sentiment Analysis Techniques
本地全文：下载
作者：Pravesh Kumar Singh ; Mohd Shahid Husain
期刊名称：International Journal on Soft Computing
电子版ISSN：2229-7103
出版年度：2014
卷号：5
期号：1
页码：11
DOI：10.5121/ijsc.2014.5102
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Decision making both on individual and organizational level is always accompanied by the search ofother’s opinion on the same. With tremendous establishment of opinion rich resources like, reviews, forumdiscussions, blogs, micro-blogs, Twitter etc provide a rich anthology of sentiments. This user generatedcontent can serve as a benefaction to market if the semantic orientations are deliberated. Opinion miningand sentiment analysis are the formalization for studying and construing opinions and sentiments. Thedigital ecosystem has itself paved way for use of huge volume of opinionated data recorded. This paper isan attempt to review and evaluate the various techniques used for opinion and sentiment analysis.
关键词：Opinion Mining; Sentiment Analysis; Feature Extraction Techniques; Naïve Bayes Classifiers; Clustering;Support Vector Machines