Sentiment Analysis from Utterances

Authors: J. Kožusznik, Petr Pulc, Martin Holeňa
Publication year: 2018
Publication type: Konferenční příspěvek (mezinárodní konf.)
Periodical: ITAT 2018: Information Technologies – Applications and Theory. Proceedings of the 18th conference ITAT 2018
Projects: Fusion-Based Knowledge Discovery in Human Activity Data
Bibliographic citation: KOŽUSZNIK, J., PULC, Petr, HOLEŇA, Martin. Sentiment Analysis from Utterances. In: KRAJČI, S., ed. ITAT 2018: Information Technologies – Applications and Theory. Proceedings of the 18th conference ITAT 2018. Aachen: Technical University & CreateSpace Independent Publishing Platform, 2018, S. 92-99. CEUR Workshop Proceedings, V-2203. ISSN 1613-0073. Dostupné z: http://ceur-ws.org/Vol-2203/92.pdf
ID: 494103
Online record: View online record

Abstract

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.