Informatischen Kolloquium Hamburg
Montag, 10. Mai 2010
um 17 Uhr c.t.
Vogt-Kölln-Str. 30
Konrad-Zuse-Hörsaal
Gebäude B
Frau Maite Taboada
Associate Professor
Simon Fraser University
Burnaby,Kanada
Humboldt-Forschungsstipendiatin (Dept. Informatik/WSV Mai - Dezember 2010)
*A lexicon-based approach to sentiment analysis*
Sentiment analysis is the automatic extraction of information about opinion and subjectivity from text and speech. In this talk, I describe our current research in sentiment analysis. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation (polarity and strength), and incorporates intensification and negation. I describe the process of dictionary creation, and our use of Mechanical Turk to check dictionaries for consistency and reliability. SO-CAL is applied to the polarity classification task, the process of assigning a positive or negative label to a text that captures the text's opinion towards its main subject matter. I show that SO-CAL's performance is consistent across domains and in completely unseen data. I also describe current research on using discourse information to improve performance.
Kontakt: Prof. Dr. Christopher Habel
habel@informatik.uni-hamburg.de, Tel. 42883-2417
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