Title :
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
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;
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
DOI :
10.1109/IADCC.2015.7154839
