DocumentCode
166349
Title
SentiMa - Sentiment extraction for Malayalam
Author
Nair, Deepu S. ; Jayan, J.P. ; Rajeev, R.R. ; Sherly, Elizabeth
Author_Institution
Virtual Resource Center for Language Comput. (VRCLC), Indian Inst. of Inf. Technol. & Manage., Trivandrum, India
fYear
2014
fDate
24-27 Sept. 2014
Firstpage
1719
Lastpage
1723
Abstract
This paper proposes a rule based approach for sentiment analysis from Malayalam movie reviews. The research in Sentiment Analysis nowadays become one among active research areas in natural language processing. Sentiment Analysis is the cognitive process in which the user´s feeling and emotions are extracted. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, and social networks. Sentiment analysis enables computers to automate the activities performed by human for making decisions based on the sentiment of opinions, which has wide applications in data mining, web mining, and text mining. Negation Rule has been applied for extracting the Sentiments from a given text. This system gives the polarity at the sentence level for the movie reviews with an accuracy of 85%, when analysed.
Keywords
cognition; data mining; decision making; natural language processing; social networking (online); text analysis; Malayalam movie reviews; SentiMa; Web mining; cognitive process; data mining; decision making; natural language processing; negation rule; sentiment analysis; sentiment extraction; social media; text mining; Accuracy; Learning systems; Motion pictures; Semantics; Sentiment analysis; Support vector machines; Negation Rule; Sentiment Extraction; Tokenization;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
Conference_Location
New Delhi
Print_ISBN
978-1-4799-3078-4
Type
conf
DOI
10.1109/ICACCI.2014.6968548
Filename
6968548
Link To Document