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Sentiment Anlaysis of Online News using MALLET
Simon Fong1; Yan Zhuang1; Jinyan Li1; Richard Khoury2
2014-01-27
Conference Name2013 International Symposium on Computational and Business Intelligence
Source PublicationProceedings - 2013 International Symposium on Computational and Business Intelligence, ISCBI 2013
Pages301-304
Conference Date24-26 Aug. 2013
Conference PlaceNew Delhi, India
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract

The challenge of sentiment analysis consists in automatically determining whether a text is positive or negative in tone. Part of the difficulty in this task stems from the fact that the same words or sentences can have very different sentimental meaning given their context. In our work, we further focus on news articles, which tend to use a more neutral vocabulary, as opposed to the emotionally charged vocabulary of opinion pieces such as editorials, reviews, and blogs. In this paper, we use MALLET (Machine Learning for Language Toolkit) to implement and train several algorithms for sentiment analysis, and run experiments to compare and contrast them. 

KeywordMallet Sentiment Analysis Text Mining
DOI10.1109/ISCBI.2013.67
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS IDWOS:000350145100061
Scopus ID2-s2.0-84894490828
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorSimon Fong
Affiliation1.Department of Computer and Information Science, University of Macau, Macau, China
2.Department of Software Engineering, Lakehead University, Thunder Bay, Canada
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Simon Fong,Yan Zhuang,Jinyan Li,et al. Sentiment Anlaysis of Online News using MALLET[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2014, 301-304.
APA Simon Fong., Yan Zhuang., Jinyan Li., & Richard Khoury (2014). Sentiment Anlaysis of Online News using MALLET. Proceedings - 2013 International Symposium on Computational and Business Intelligence, ISCBI 2013, 301-304.
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