Sentiment Analysis from Utterances

0494103 - ÚI 2019 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Kožusznik, J. - Pulc, Petr - Holeňa, Martin
Sentiment Analysis from Utterances.
ITAT 2018: Information Technologies – Applications and Theory. Proceedings of the 18th conference ITAT 2018. Aachen: Technical University & CreateSpace Independent Publishing Platform, 2018 - (Krajči, S.), s. 92-99. CEUR Workshop Proceedings, V-2203. ISSN 1613-0073.
[ITAT 2018. Conference on Information Technologies – Applications and Theory /18./. Plejsy (SK), 21.09.2018-25.09.2018]
Grant CEP: GA ČR(CZ) GA18-18080S
Institucionální podpora: RVO:67985807
Klíčová slova: sentiment analysis * MPEG-7 * classification of utterances * Berlin database of emotional speech
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2203/92.pdf

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.
Trvalý link: http://hdl.handle.net/11104/0287341