Comparing Live Sentiment Annotation of Movies via Arduino and a Slider with Textual Annotation of Subtitles

URN to cite this document:: urn:nbn:de:bvb:355-epub-508119

Schmidt, Thomas ; Engl, Isabella ; Halbhuber, David ; Wolff, Christian

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Date of publication of this fulltext: 14 Oct 2021 06:37

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Item type:	Article
Journal or Publication Title:	Post-Proceedings of the 5th Conference Digital Humanities in the Nordic Countries (DHN 2020)
Title of Book:	Post-Proceedings of the 5th Conference Digital Humanities in the Nordic Countries (DHN 2020)
Publisher:	CEUR Workshop Proceedings
Place of Publication:	Riga, Latvia
Other Series:	CEUR workshop proceedings
Volume:	2865
Page Range:	pp. 212-223
Date:	October 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 Annotation, Sentiment Analysis, Movies, Film Studies, Arduino, Annotation
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science 400 Language > 400 Language, Linguistics 600 Technology > 600 Technology (Applied sciences) 700 Arts & recreation > 791 Public performances 800 Literature > 800 Literature & rhetoric
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Yes
Item ID:	50811

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Abstract

Movies in Digital Humanities are often enriched with information by annotating the text e.g. via subtitles. However, we hypothesize that the missing presentation of the multimedia content is disadvantageous for certain annotation types like sentiment annotation. We claim that performing the annotation live during the viewing of the movie is beneficial for the annotation process. We present and ...