Toward Multimodal Sentiment Analysis of Historic Plays: A Case Study with Text and Audio for Lessing’s Emilia Galotti

URN to cite this document:: urn:nbn:de:bvb:355-epub-436085

Schmidt, Thomas ; Burghardt, Manuel

; Wolff, Christian

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Date of publication of this fulltext: 24 Aug 2020 04:29

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Item type:	Book section
Title of Book:	Proceedings of the Digital Humanities in the Nordic Countries 4th Conference, Copenhagen, Denmark, March 5-8, 2019
Place of Publication:	Copenhagen, Denmark
Other Series:	CEUR Workshop Proceedings
Page Range:	pp. 405-414
Date:	March 2019
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 > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff)
Keywords:	sentiment analysis, emotion analysis, multimodal, multimedia, computational literary studies, audio, audiobooks, drama, text mining, Lessing
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science 000 Computer science, information & general works > 020 Library & information sciences 400 Language > 430 Germanic 800 Literature > 800 Literature & rhetoric 800 Literature > 830 Literatures of Germanic languages
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Partially
Item ID:	43608

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Abstract

We present a case study as part of a work-in-progress project about multimodal sentiment analysis on historic German plays, taking Emilia Galotti by G. E. Lessing as our initial use case. We analyze the textual version and an audio version (audiobook). We focus on ready-to-use sentiment analysis methods: For the textual component, we implement a naive lexicon-based approach and another approach ...