WASSA 2015
6th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
To be held in conjuntion with the EMNLP 2015 Conference

European Commission Joint Research Centre



Dr. Zornitsa Kozareva - Yahoo! Research

Multilingual Affect Polarity and Valence Prediction in Metaphors

Understanding metaphor rich texts like "Her lawyer is a shark", "Time is money", "We need to construct a strong argument" and the affect associated with them is a challenging problem, which has been of interest to the research community for a long time. One crucial challenge is to build an automated system that can identify the polarity and valence associated with metaphors and create multilingual platform for that. In this talk, I will introduce the task of multilingual sentiment analysis of metaphors and will present novel algorithms that integrate affective, perceptual and social processes with stylistic and lexical information. Finally, by running evaluations on datasets in English, Spanish, Farsi and Russian, I will show that the method is portable and works equally well when applied to different languages.

Dr. Zornitsa Kozareva is a Senior Manager of the Query Processing and User Intent group at Yahoo! She leads the team powering queries for Search and Advertisement. Prior to that she was a Research Assistant Professor at the University of Southern California and a Research Scientist in the Natural Language group at the Information Sciences Institute. She received her PhD with Cum Laude from the University of Alicante, Spain. Her research interests lie in Web-based knowledge extraction, text mining, lexical semantics, ontology population, multilingual information extraction and sentiment analysis. Dr. Kozareva is a recipient of the RANLP young scientist award and has co-organized SemEval challenges on paraphrases, sentiment analysis, causality detection and relation identification.

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