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Evaluation computergestützter Verfahren der Emotionsklassifikation für deutschsprachige Dramen um 1800 ...
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Evaluation computergestützter Verfahren der Emotionsklassifikation für deutschsprachige Dramen um 1800 ...
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Towards a Corpus of Historical German Plays with Emotion Annotations ...
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Exploring Online Depression Forums via Text Mining: A Comparison of Reddit and a Curated Online Forum ...
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Towards the Analysis of Fan Fictions in German Language: Exploration of a Corpus from the Platform Archive of Our Own ...
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Emotion Classification in German Plays with Transformer-based Language Models Pretrained on Historical and Contemporary Language ...
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Exploring Multimodal Sentiment Analysis in Plays: A Case Study for a Theater Recording of Emilia Galotti ...
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SentText: A Tool for Lexicon-based Sentiment Analysis in Digital Humanities ...
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Lexicon-based Sentiment Analysis in German: Systematic Evaluation of Resources and Preprocessing Techniques ...
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SentText: A Tool for Lexicon-Based Sentiment Analysis in Digital Humanities ...
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Using Deep Learning for Emotion Analysis of 18th and 19th Century German Plays ...
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Towards the Analysis of Fan Fictions in German Language: Exploration of a Corpus from the Platform Archive of Our Own
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SentText: A Tool for Lexicon-based Sentiment Analysis in Digital Humanities
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Exploring Multimodal Sentiment Analysis in Plays: A Case Study for a Theater Recording of Emilia Galotti
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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 visual (face-based) sentiment analysis perform compared to human annotations and how these approaches differ from each other. As use case we chose Emilia Galotti by the famous German playwright Gotthold Ephraim Lessing. We acquired a video recording of a 2002 theater performance of the play at the “Wiener Burgtheater”. We evaluate textual lexicon-based sentiment analysis and two state-of-the-art audio and video sentiment analysis tools. As gold standard we use speech-based annotations of three expert annotators. We found that the audio and video sentiment analysis do not perform better than the textual sentiment analysis and that the presentation of the video channel did not improve annotation statistics. We discuss the reasons for this negative result and limitations of the approaches. We also outline how we plan to further investigate the possibilities of multimodal sentiment analysis.
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Keyword:
004 Informatik; ddc:004
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URL: https://epub.uni-regensburg.de/51574/ http://ceur-ws.org/Vol-2989/short_paper45.pdf https://epub.uni-regensburg.de/51574/1/Schmidt-2021-Exploring%20Multimodal%20Sentiment%20An.pdf
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Exploring Online Depression Forums via Text Mining: A Comparison of Reddit and a Curated Online Forum
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Comparing Live Sentiment Annotation of Movies via Arduino and a Slider with Textual Annotation of Subtitles
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