Paper: A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle

ACL ID P12-3020
Title A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2012
Authors

Hao Wang*, Dogan Can**, Abe Kazemzadeh**, Fran?ois Bar* and Shrikanth Narayanan** Annenberg Innovation Laboratory (AIL)* Signal Analysis and Interpretation Laboratory (SAIL)** University of Southern California, Los Angeles, CA {haowang@, dogancan@, kazemzad@, fbar@, shri@sipi}.usc.edu Abstract This paper describes a system for real-time analysis of public sentiment toward presidential candidates in the 2012 U.S. election as expressed on Twitter, a micro-blogging service. Twitter has become a central site where people express their opinions and views on political parties and candidates. Emerging events or news are often followed almost instantly by a burst in Twitter volume, providing a unique opportunity to gauge the relation between expressed public sentiment and electoral events...