Microblogging

Sociology

Value (mathematics)

Mood

Mathematics

Statistics

Psychoanalysis

World Wide Web

Machine learning

Cognitive psychology

Artificial intelligence

Psychology

Emotive

Anthropology

Anger

Computer science

Social media

Confusion

Timeline

Sentiment analysis

Social psychology

Proceedings of the International AAAI Conference on Web and Social Media

We perform a sentiment analysis of all tweets published on the microblogging platform Twitter in the second half of 2008. We use a psychometric instrument to extract six mood states (tension, depression, anger, vigor, fatigue, confusion) from the aggregated Twitter content and compute a six-dimensional mood vector for each day in the timeline. We compare our results to a record of popular events gathered from media and sources. We find that events in the social, political, cultural and economic sphere do have a significant, immediate and highly specific effect on the various dimensions of public mood. We speculate that large scale analyses of mood can provide a solid platform to model collective emotive trends in terms of their predictive value with regards to existing social as well as economic indicators.

Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena