Opinion Mining and Lexical Affect Sensing

  • 2013-06-17
  • Research

This talk discusses opinion mining and lexical affect sensing. It focuses on automatic detection of emotions and opinions in texts ...

Abstract

This talk discusses opinion mining and lexical affect sensing. It focuses on automatic detection of emotions and opinions in texts which importance is motivated by the benefits that emotionally-intelligent technical artifacts would bring to humans. The talk presents different examples of emotional analysis such as analysis of product reviews, natural-language dialogues, weblogs and discusses an analytical (statistical) approach, a grammatical (linguistic) approach, a hybrid approach (combination of the statistical and the grammatical approaches), and a multimodal approach (combination of the lexical and the acoustic data). Since listeners of different specialties are expected to come to this talk, for instance, linguists, psychologists, computer scientists etc., we plan a discussion in a more broad context so that everybody can benefit from this talk. If, however, special questions arise in the presentation, they can be answered in the discussion. Also, a demo will be presented.

Biography

Alexander Osherenko graduated from University of Applied Sciences, Hamburg with the B.Sc. degree in Computer Science. He obtained his M.Sc. degree in Computer Science from Humboldt University, Berlin and the PhD degree from University of Augsburg. Alexander Osherenko, has successfully capitalized on the research in his thesis by founding his own company, Socioware Development.

Speakers

  • Alexander Osherenko, Socioware Development

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