Events Calendar

NL Seminar- Abe Kazemzadeh:

Speaker: Abe Kazemzadeh, USC

Talk Title: Sentiment and Sarcasm in the 2012 US Presidential Election

Series: Natural Language Seminar

Abstract: Abstract: Political discourse is challenging from a sentiment analysis point of view because political issues are subjective and highly dynamic. Political language may contain neologisms that do not occur frequently in general purpose lexical sentiment models. Also, the presence of humor, sarcasm, and comparatives may introduce errors in sentiment analysis. In Twitter, these issues are amplified by the use of Twitter-specific features and constrained message lengths. In this presentation, we will present a collaborative project between the University of Southern California (USC) Signal Analysis and Interpretation Laboratory, USC Annenberg Innovation Laboratory, and IBM. Our system is relies on manual curation of keywords and hashtags, crowd-sourced annotation, statistical machine learned sentiment models, and a real-time visualization that is ideal for display during live events. We describe our corpus and several experiments using different settings of our sentiment models. Among our findings are that sentiment in politics is skewed towards negative, annotation agreement tend to be low, and that sarcasm is a factor that explains some of the annotator disagreement.

Biography: http://sail.usc.edu/~kazemzad/

Short Bio:
Abe Kazemzadeh is a PhD candidate at the USC Computer Science Dept and a research assistant at the Signal Analysis and Interpretation Laboratory (SAIL). His interests include natural language, logic, emotions, games, and algebra. He is currently the chief technology officer at the USC Annenberg Innovation Laboratory (AIL).


Host: Qing Dou

More Info: http://nlg.isi.edu/nl-seminar/

Location: Information Science Institute (ISI) - Marina Del Rey-11th Flr Conf Rm # 1135

Audiences: Everyone Is Invited

Contact: Peter Zamar

Event Link: http://nlg.isi.edu/nl-seminar/