Sentiment Analysis on Tweets for Social Events
Paper
Paper/Presentation Title | Sentiment Analysis on Tweets for Social Events |
---|---|
Presentation Type | Paper |
Authors | Zhou, Xujuan (Author), Tao, Xiaohui (Author), Yong, Jianming (Author) and Yang, Zhenyu (Author) |
Editors | Shen, Weiming, Li, Weidong, Barthes, Jean-Paul, Luo, Junzhou, Zhu, Haibin, Yong, Jianming and Li, Xiaoping |
Journal or Proceedings Title | Proceedings of the 17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013) |
Number of Pages | 6 |
Year | 2013 |
Place of Publication | United States |
ISBN | 9781467360852 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/CSCWD.2013.6581022 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/6581022 |
Conference/Event | IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013) |
Event Details | Rank B B B B B B B B B B B B B |
Event Details | IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013) Event Date 27 to end of 29 Jun 2013 Event Location Whistler, Canada |
Abstract | Sentiment analysis or opinion mining is an important type of text analysis that aims to support decision making by extracting and analyzing opinion oriented text, identifying positive and negative opinions, and measuring how positively or negatively an entity (i.e., people, organization, event, location, product, topic, etc.) is regarded. As more and more users express their political and religious views on Twitter, tweets become valuable sources of people's opinions. Tweets data can be efficiently used to infer people's opinions for marketing or social studies. This paper proposes a Tweets Sentiment Analysis Model (TSAM) that can spot the societal interest and general people's opinions in regard to a social event. In this paper, Australian federal election 2010 event was taken as an example for sentiment analysis experiments. We are primarily interested in the sentiment of the specific political candidates, i.e., two primary minister candidates - Julia Gillard and Tony Abbot. Our experimental results demonstrate the effectiveness of the system. |
Keywords | sentiment analysis; social network; text analysis; tweets |
ANZSRC Field of Research 2020 | 441007. Sociology and social studies of science and technology |
400604. Network engineering | |
520599. Social and personality psychology not elsewhere classified | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Queensland University of Technology |
Centre for Systems Biology | |
School of Information Systems | |
Aalborg University, Denmark | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2153/sentiment-analysis-on-tweets-for-social-events
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