Residential College | false |
Status | 已發表Published |
Sentiment Anlaysis of Online News using MALLET | |
Simon Fong1; Yan Zhuang1; Jinyan Li1; Richard Khoury2 | |
2014-01-27 | |
Conference Name | 2013 International Symposium on Computational and Business Intelligence |
Source Publication | Proceedings - 2013 International Symposium on Computational and Business Intelligence, ISCBI 2013 |
Pages | 301-304 |
Conference Date | 24-26 Aug. 2013 |
Conference Place | New Delhi, India |
Publisher | IEEE, 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. |
Keyword | Mallet Sentiment Analysis Text Mining |
DOI | 10.1109/ISCBI.2013.67 |
URL | View the original |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Information Systems |
WOS ID | WOS:000350145100061 |
Scopus ID | 2-s2.0-84894490828 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Simon Fong |
Affiliation | 1.Department of Computer and Information Science, University of Macau, Macau, China 2.Department of Software Engineering, Lakehead University, Thunder Bay, Canada |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University 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. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment