Determining the public mood state by analysis of microblogging posts

Artificial Life XII: Proceedings of the 12th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2010

Volumn , Issue , 2010, Pages 667-668

  Bollen, Johan ^a   Mao, Huina ^a   Pepe, Alberto ^b  

^a INDIANA UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85185605325     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Johan Bollen, Alberto Pepe, and Huina Mao. Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena. http://arxiv.org/abs/0911.1583, 2010.
2. Akshay Java, Xiaodan Song, Tim Finin, and Belle Tseng. Why we twitter: understanding microblogging usage and communities. In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web mining and Social Network Analysis, pages 56–65, New York, NY, USA, 2007. ACM.
3. D. McNair, J. P. Heuchert, and E. Shilony. Profile of mood states. Bibliography 1964–2002. Multi-Health Systems, 2003.
4. J. C. Norcross, E. Guadagnoli, and J. O. Prochaska. Factor structure of the profile of mood states (POMS): Two partial replications. Journal of Clinical Psychology, 40(5):1270 – 1277, 2006.
5. Brendan O‘Connor, Ramnath Balasubramanyan, Bryan R. Routledge, and Noah A. Smith. From tweets to polls: Linking text sentiment to public opinion time series. In Proceedings of the International AAAI Conference on Weblogs and Social Media, May 2010.
6. Alberto Pepe and Johan Bollen. Between conjecture and memento: shaping a collective emotional perception of the future. In Proceedings of the AAAI Spring Symposium on Emotion, Personality, and Social Behavior, 2008.