Sentiment analysis on tweets for social events

Xujuan Zhou, Xiaohui Tao, Jianming Yong, Zhenyu Yang

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

61 Citations (Scopus)

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.
Original languageEnglish
Title of host publication2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
EditorsWeiming Shen, Weidong Li, Jean-Paul Barthès, Junzhou Luo, Haibin Zhu, Jianming Yong, Xiaoping Li
Place of PublicationWhistler, BC
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages557-562
Number of pages6
ISBN (Print)9781467360852
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventInternational Conference on Computer Supported Cooperative Work in Design (17th : 2013) - Whistler, BC
Duration: 27 Jun 201329 Jun 2013

Conference

ConferenceInternational Conference on Computer Supported Cooperative Work in Design (17th : 2013)
CityWhistler, BC
Period27/06/1329/06/13

Keywords

  • Sentiment analysis
  • Tweets
  • Text analysis
  • Social network

Fingerprint Dive into the research topics of 'Sentiment analysis on tweets for social events'. Together they form a unique fingerprint.

Cite this