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Opinion mining and lexical affect sensing

Computer-aided analysis of opinions and emotions in texts

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  • 276 pages
  • 10 hours of reading

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The dissertation presents an interdisciplinary study combining linguistic and psychological insights to categorize opinions and emotions in texts through computer-aided methods. It examines various emotional corpora, including movie reviews and weblogs, and outlines different classification approaches: statistical, semantic, and a hybrid of both. Additionally, it explores affect sensing through multimodal fusion of lexical and acoustic data. The work concludes with a discussion of its contributions and potential future research directions.

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Opinion mining and lexical affect sensing, Alexander Osherenko

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Released
2015
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