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Sentiment Analysis from Utterances
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SYSNO ASEP 0494103 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Sentiment Analysis from Utterances Author(s) Kožusznik, J. (CZ)
Pulc, Petr (UIVT-O) SAI, ORCID
Holeňa, Martin (UIVT-O) SAI, RIDSource Title ITAT 2018: Information Technologies – Applications and Theory. Proceedings of the 18th conference ITAT 2018. - Aachen : Technical University & CreateSpace Independent Publishing Platform, 2018 / Krajči S. - ISSN 1613-0073 Pages s. 92-99 Number of pages 8 s. Publication form Online - E Action ITAT 2018. Conference on Information Technologies – Applications and Theory /18./ Event date 21.09.2018 - 25.09.2018 VEvent location Plejsy Country SK - Slovakia Event type EUR Language eng - English Country DE - Germany Keywords sentiment analysis ; MPEG-7 ; classification of utterances ; Berlin database of emotional speech Subject RIV IN - Informatics, Computer Science OECD category Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) R&D Projects GA18-18080S GA ČR - Czech Science Foundation (CSF) Institutional support UIVT-O - RVO:67985807 EID SCOPUS 85053849356 Annotation The recognition of emotional states in speech is starting to play an increasingly important role. However, it is a complicated process, which heavily relies on the extraction and selection of utterance features related to the emotional state of the speaker. In the reported research, MPEG-7 low level audio descriptors[10] serve as features for the recognition of emotional categories. To this end, a methodology combining MPEG-7 with several important kinds of classifiers is elaborated. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2019 Electronic address http://ceur-ws.org/Vol-2203/92.pdf
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