Title :
Opinion mining and analysis: A literature review
Author :
Singh, V. ; Dubey, Sanjay Kumar
Author_Institution :
ASET, Amity Univ., Noida, India
Abstract :
Sentiment analysis or opinion mining consist of many different fields like natural language processing, text mining, decision making and linguistics. It is a type of text analysis that classifies the text and makes decision by extracting and analyzing the text. Opinions can be categorized as positive and negative and measures the degree of positive or negative associated with that event (people, organization, social issues). So, it´s basically people´s opinion study, study of emotions and appraisals in the direction of any social issue, people or entity. Recently most of the researches have been done on the sentiment analysis of products and services. The analysis of events and issues, data is retrieved from social media like twitter etc.
Keywords :
data mining; natural language processing; social networking (online); text analysis; Twitter; decision making; linguistics; natural language processing; opinion mining; sentiment analysis; social media; text analysis; text mining; Blogs; Data mining; Feature extraction; Motion pictures; Sentiment analysis; Supervised learning; Support vector machines; opinion mining; social events; text analysis;
Conference_Titel :
Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -
Conference_Location :
Noida
Print_ISBN :
978-1-4799-4237-4
DOI :
10.1109/CONFLUENCE.2014.6949318