ABSTRACT
In this paper we describe the preliminary results and future directions of a research in progress, which aims at assessing the hashtag effectiveness as a resource for sentiment analysis expressed on Twitter. The results so far support our hypothesis that hashtags may facilitate the detection and automatic tracking of online population sentiment about different events.
- C. Chew and G. Eysenbach. Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak. PLoS ONE, 5(11):e14118+, 2010.Google Scholar
- E. Cunha, G. Magno, G. Comarela, V. Almeida, M. A. Goncalves, and F. Benevenuto. Analyzing the dynamic evolution of hashtags on twitter: a language-based approach. In Proc. of the Workshop on LSM, pages 58--65, 2011. Google ScholarDigital Library
- N. Diakopoulos and M. Naaman. Topicality, time, and sentiment in online news comments. In Proc. EA CHI, pages 1405--1410, 2011. Google ScholarDigital Library
- N. A. Diakopoulos and D. A. Shamma. Characterizing debate performance via aggregated twitter sentiment. In Proc. CHI, pages 1195--1198, 2010. Google ScholarDigital Library
- D. Easley and J. Kleinberg. Networks, Crowds, and Markets: Reasoning About a Highly Connected World. Cambridge University Press, 2010. Google ScholarDigital Library
- J. Gomide, A. Veloso, W. M. Jr., V. Almeida, F. Benevenuto, F. Ferraz, and M. Teixeira. Dengue surveillance based on a computational model of spatio-temporal locality of twitter. In ACM WebSci, 2011.Google ScholarDigital Library
- B. J. Jansen, M. Zhang, K. Sobel, and A. Chowdury. Micro-blogging as online word of mouth branding. In EA CHI, pages 3859--3864, 2009. Google ScholarDigital Library
- M. Miller, C. Sathi, D. Wiesenthal, J. Leskovec, and C. Potts. Sentiment Flow Through Hyperlink Networks. In Proc. AAAI CWSM, 2011.Google Scholar
- B. Pang and L. Lee. Opinion mining and sentiment analysis. Found. Trends Inf. Retr., 2:1--135, 2008. Google ScholarDigital Library
- D. M. Romero, B. Meeder, and J. Kleinberg. Dierences in the mechanics of information diusion across topics: idioms, political hashtags, and complex contagion on twitter. In Proc. WWW, pages 695--704, 2011. Google ScholarDigital Library
- W. Willinger, R. Rejaie, M. Torkjazi, M. Valafar, and M. Maggioni. Research on online social networks: time to face the real challenges. SIGMETRICS Perform. Eval. Rev., pages 49--54, 2010. Google ScholarDigital Library
Index Terms
- Characterizing the effectiveness of twitter hashtags to detect and track online population sentiment
Recommendations
On recommending hashtags in twitter networks
SocInfo'12: Proceedings of the 4th international conference on Social InformaticsTwitter network is currently overwhelmed by massive amount of tweets generated by its users. To effectively organize and search tweets, users have to depend on appropriate hashtags inserted into tweets. We begin our research on hashtags by first ...
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach
CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge managementTwitter is one of the biggest platforms where massive instant messages (i.e. tweets) are published every day. Users tend to express their real feelings freely in Twitter, which makes it an ideal source for capturing the opinions towards various ...
On tweets, retweets, hashtags and user profiles in the 2016 American Presidential Election Scene
dg.o '17: Proceedings of the 18th Annual International Conference on Digital Government ResearchTwitter is a microblogging where users can publish short messages restricted to 140 characters. It has been used in the political scene from different perspectives. One of them is predicting election results. In this area, many researchers have drawn ...
Comments