Exploring Multimodal Sentiment Analysis in Plays: A Case Study for a Theater Recording of Emilia Galotti

URN to cite this document:: urn:nbn:de:bvb:355-epub-515745
DOI to cite this document:: 10.5283/epub.51574

Schmidt, Thomas

; Wolff, Christian

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Date of publication of this fulltext: 03 Feb 2022 08:56

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Item type:	Conference or workshop item (Paper)
Open Access Type:	Unknown
Publisher:	CEUR Workshop Proceedings (CEUR-WS.org)
Volume:	1613
Page Range:	pp. 392-404
Date:	2021
Institutions:	Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) Informatics and Data Science > Department Human-Centered Computing > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff)
Keywords:	sentiment analysis, computational literary studies, video, annotation, multimodality
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Yes
Item ID:	51574

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Abstract

We present first results of an exploratory study about sentiment analysis via different media channels on a German historical play. We propose the exploration of other media channels than text for sentiment analysis on plays since the auditory and visual channel might offer important cues for sentiment analysis. We perform a case study and investigate how textual, auditory (voice-based), and ...