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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6...8 Hits 21 – 40 of 145 21 University of Regensburg @ SwissText 2021 SEPP-NLG: Adding Sentence Structure to Unpunctuated Text Donabauer, Gregor; Kruschwitz, Udo. - : RWTH Aachen, 2021 BASE Show details 22 Lexicon-based Sentiment Analysis in German: Systematic Evaluation of Resources and Preprocessing Techniques Schmidt, Thomas; Wolff, Christian; Fehle, Jakob. - : KONVENS 2021 Organizers, 2021 BASE Show details 23 Information Behavior von unbegleiteten, minderjährigen Geflüchteten unter Berücksichtigung der Rolle und Nutzung von Smartphones Dewitz, Leyla. - : Werner Hülsbusch, 2021 BASE Show details 24 Accessible digital documentary heritage : guidelines for the preparation of documentary heritage in accessible formats for persons with disabilities ... Darvishy, Alireza; Manning, Juliet. - : UNESCO, 2020 BASE Show details 25 Catalogus Realis. II. Sprachwissenschaft : A 1 - 30 ; B 1 - 79 ; C 1 - 206. Philipps-Universität Marburg In: Realkatalog der UB Marburg / Standortkatalog I (2020) BASE Show details 26 Der Einsatz von Distant Reading auf einem Korpus deutschsprachiger Songtexte Schmidt, Thomas; Bauer, Marlene; Habler, Florian. - 2020 BASE Show details 27 CoCo: A tool for automatically assessing conceptual complexity of texts Štajner, Sanja; Nisioi, Sergiu; Hulpus, Ioana. - : European Language Resources Association, 2020 BASE Show details 28 When shallow is good enough: Automatic assessment of conceptual text complexity using shallow semantic features Štajner, Sanja; Hulpus, Ioana. - : European Language Resources Association, ELRA-ELDA, 2020 BASE Show details 29 Reproduzierbarkeit von Studien in der Computerlinguistik ... Andresen, Amelie. - : Hochschule Hannover, 2019 BASE Show details 30 Results of survey "Medical Library Services in Germany" ... Knüttel, Helge; Krause, Evamaria; Semmler-Schmetz, Martina. - : Universität Regensburg, 2019 BASE Show details 31 Structure/questions of survey "Medical Library Services in Germany" ... Knüttel, Helge; Krause, Evamaria; Semmler-Schmetz, Martina. - : Universität Regensburg, 2019 BASE Show details 32 Katharsis – A Tool for Computational Drametrics ... Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - : Universität Regensburg, 2019 BASE Show details 33 Distant Reading Sentiments and Emotions in Historic German Plays ... Schmidt, Thomas. - : Universität Regensburg, 2019 BASE Show details 34 Predicting Word Concreteness and Imagery ... Charbonnier, Jean; Wartena, Christian. - : Association for Computational Linguistics, 2019 BASE Show details 35 Crowdsourcing and Aggregating Nested Markable Annotations ... Madge, Chris; Yu, Juntao; Chamberlain, Jon. - : Universität Regensburg, 2019 BASE Show details 36 Annotator-Centered Design: Towards a Tool for Sentiment and Emotion Annotation Schmidt, Thomas; Jakob, Marco; Wolff, Christian. - : Gesellschaft für Informatik e.V., 2019 BASE Show details 37 Toward Multimodal Sentiment Analysis of Historic Plays: A Case Study with Text and Audio for Lessing’s Emilia Galotti Schmidt, Thomas; Burghardt, Manuel; Wolff, Christian. - 2019 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 that enhances the lexicon by means of several NLP methods. For the audio analysis, we use the free version of the Vokaturi tool. We compare the results of all approaches and evaluate them against the annotations of a human expert, which serves as a gold standard. For our use case, we can show that audio and text sentiment analysis behave very differently: textual sentiment analysis tends to predict sentiment as rather negative and audio sentiment as rather positive. Compared to the gold standard, the textual sentiment analysis achieves accuracies of 56% while the accuracy for audio sentiment analysis is only 32%. We discuss possible reasons for these mediocre results and give an outlook on further steps we want to pursue in the context of multimodal sentiment analysis on historic plays. Keyword: 004 Informatik; 020 Bibliotheks- und Informationswissenschaft; 430 Deutsch; 800 Literatur; 830 Deutsche Literatur; ddc:004; ddc:020; ddc:430; ddc:800; ddc:830; Literaturwissenschaft; Rhetorik URL: https://epub.uni-regensburg.de/43608/1/Schmidt%20et%20al.%20%282019%29%20-%20Towards%20Multimodal%20Sentiment%20Analysis.pdf https://epub.uni-regensburg.de/43608/ http://ceur-ws.org/Vol-2364/37_paper.pdf BASE Hide details 38 Distant Reading Sentiments and Emotions in Historic German Plays Schmidt, Thomas. - 2019 BASE Show details 39 Crowdsourcing and Aggregating Nested Markable Annotations Poesio, Massimo; Yu, Juntao; Chamberlain, Jon. - : Association for Computational Linguistics, 2019 BASE Show details 40 Katharsis – A Tool for Computational Drametrics Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - 2019 BASE Show details Page: 1 2 3 4 5 6...8

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