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Finding Topic-specific Strings in Text Categorization and Opinion Mining Contexts.

, , , and . DMIN, page 38-44. CSREA Press, (2010)

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Detection and Analysis of Abnormal Situations Through Fear-Type Acoustic Manifestations., , , , and . ICASSP (4), page 21-24. IEEE, (2007)"I like this painting too": When an ECA Shares Appreciations to Engage Users., , and . AAMAS, page 1649-1650. ACM, (2015)EZCAT: an Easy Conversation Annotation Tool., , , and . LREC, page 1788-1797. European Language Resources Association, (2022)Events Detection for an Audio-Based Surveillance System., , and . ICME, page 1306-1309. IEEE Computer Society, (2005)Detecting User's Likes and Dislikes for a Virtual Negotiating Agent., and . ICMI, page 103-110. ACM, (2018)Introduction to the Special Section on Computational Modeling and Understanding of Emotions in Conflictual Social Interactions., , , and . ACM Trans. Internet Techn., 20 (2): 8:1-8:5 (2020)MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification., , , , and . CoRR, (2023)Impact of spontaneous speech features on business concept detection: a study of call-centre data., and . SSCS@MM, page 11-14. ACM, (2010)Modelling agent's questions for analysing user's affects, appreciations and judgements in human-agent interaction (Modélisation des questions de l'agent pour l'analyse des affects, jugements et appréciations de l'utilisateur dans les interactions humain-agent) in French., and . TALN (2), page 479-484. The Association for Computer Linguistics, (2014)Insights Into the Importance of Linguistic Textual Features on the Persuasiveness of Public Speaking., , , and . ICMI Companion, page 51-55. ACM, (2023)