Feature based opinion mining: A survey

Author

Ganeshbhai, Solanki Yogesh ; Shah, Bhumika K.

Author_Institution

Dept. of Comput. Eng., Sarvajanik Coll. of Eng. & Technol., Surat, India

fYear

2015

fDate

12-13 June 2015

Firstpage

919

Lastpage

923

Abstract

In olden days people were only information consumers but since advent of Web 2.0 they plays more important role in publishing information on Web in the form of comments and reviews. The user generated content forced organization to pay attention towards analyzing this content for better visualization of public´s opinion. Opinion mining or Sentiment analysis is an autonomous text analysis and summarization system for reviews available on Web. Opinion mining aims for distinguishing the emotions expressed within the reviews, classifying them into positive or negative and summarizing into the form that is quickly understood by users. Feature based opinion mining performs fine-grain analysis by recognizing individual features of an object upon which user has expressed opinion. This paper gives an insight of various methods proposed in the area of feature based opinion mining and also discuss the limitations of existing work and future direction in feature based opinion mining.

Keywords

Internet; data mining; feature extraction; natural language processing; text analysis; NLP; Web 2.0; feature extraction; fine-grain analysis; natural language processing; opinion mining; sentiment analysis; summarization system; text analysis; Classification algorithms; Data mining; Dictionaries; Feature extraction; Pragmatics; Semantics; Sentiment analysis; Feature extraction; Opinion mining; Opinion summarization; Sentiment classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Advance Computing Conference (IACC), 2015 IEEE International

Conference_Location

Banglore

Print_ISBN

978-1-4799-8046-8

Type

conf

DOI

10.1109/IADCC.2015.7154839

Filename

7154839