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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 Hits 1 – 20 of 42 1 Towards the Analysis of Fan Fictions in German Language: Exploration of a Corpus from the Platform Archive of Our Own Schmidt, Thomas; Grünler, Johanna; Schönwerth, Nicole. - 2021 BASE Show details 2 Comparing Live Sentiment Annotation of Movies via Arduino and a Slider with Textual Annotation of Subtitles Schmidt, Thomas; Engl, Isabella; Halbhuber, David. - : CEUR Workshop Proceedings, 2021 BASE Show details 3 Using Deep Learning for Emotion Analysis of 18th and 19th Century German Plays Dennerlein, Katrin; Wolff, Christian; Schmidt, Thomas. - : Melusina Press, 2021 BASE Show details 4 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 5 Towards a Corpus of Historical German Plays with Emotion Annotations Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Schloss Dagstuhl — Leibniz-Zentrum für Informatik, 2021 BASE Show details 6 Visualizing Collocations in Religious Online Forums Schmidt, Thomas; Kaindl, Florian; Wolff, Christian. - 2020 BASE Show details 7 Acquisition and Analysis of a Meme Corpus to Investigate Web Culture Schmidt, Thomas; Hartl, Philip; Ramsauer, Dominik. - 2020 BASE Show details 8 Distant Reading of Religious Online Communities: A Case Study for Three Religious Forums on Reddit Schmidt, Thomas; Kaindl, Florian; Wolff, Christian. - 2020 BASE Show details 9 Der Einsatz von Distant Reading auf einem Korpus deutschsprachiger Songtexte Schmidt, Thomas; Bauer, Marlene; Habler, Florian. - 2020 BASE Show details 10 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 11 Katharsis – A Tool for Computational Drametrics Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - 2019 BASE Show details 12 Inter-Rater Agreement and Usability: A Comparative Evaluation of Annotation Tools for Sentiment Annotation Schmidt, Thomas; Winterl, Brigitte; Maul, Milena. - : Gesellschaft für Informatik e.V., 2019 BASE Show details 13 Stilometrie in der Rechtslinguistik. Nutzung korpuslinguistischer Verfahren für die Analyse deutschsprachiger Urteile Auer, Anna-Maria; Berteloot, Pascale; Mielke, Bettina. - : Editions Weblaw, 2019 BASE Show details 14 Sentiment Annotation for Lessing’s Plays: Towards a Language Resource for Sentiment Analysis on German Literary Texts Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - : RWTH Aachen, 2019 BASE Show details 15 Herausforderungen für Sentiment Analysis-Verfahren bei literarischen Texten Schmidt, Thomas; Burghardt, Manuel; Wolff, Christian. - : Gesellschaft für Informatik e.V., 2018 BASE Show details 16 Katharsis – Ein Werkzeug für die quantitative Dramenanalyse Burghardt, Manuel; Dennerlein, Katrin; Schmidt, Thomas. - 2016 BASE Show details 17 Sentilyzer – A Mashup Application for the Sentiment Analysis of Facebook Pages Wolff, Christian; Glücker, Hartmut; Burghardt, Manuel. - 2014 BASE Show details 18 WebNLP – An Integrated Web-Interface for Python NLTK and Voyant Burghardt, Manuel; Tirlea, Bianca; Wolff, Christian. - 2014 BASE Show details 19 Stand off-Annotation für Textdokumente: Vom Konzept zur Implementierung (zur Standardisierung?) Burghardt, Manuel; Wolff, Christian. - : Narr, 2009 BASE Show details 20 Werkzeuge zur Annotation diachroner Korpora Wolff, Christian; Burghardt, Manuel. - : Abteilung für Informatik und Angewandte Kognitionswissenschaft, Universität Duisburg-Essen, 2009 BASE Show details Page: 1 2 3

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