This thorough, multidisciplinary study discusses the findings of social interaction and social simulation using understandable global examples. Shows the reader how to acquire intercultural data, illustrating each step with descriptive comments and program code
Computer-aided analysis of opinions and emotions in texts
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.