Thomas Schmidt
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An evaluation of lexicon-based sentiment analysis techniques for the plays of gotthold ephraim lessing
T Schmidt, M Burghardt
Association for Computational Linguistics, 2018
Sentiment annotation of historic german plays: An empirical study on annotation behavior
T Schmidt, M Burghardt, K Dennerlein
RWTH Aachen, 2018
Toward multimodal sentiment analysis of historic plays: A case study with text and audio for lessing’s emilia galotti
T Schmidt, M Burghardt, C Wolff
RWTH Aachen 2364, 405-414, 2019
Personality and information behavior in web search
T Schmidt, C Wolff
Proceedings of the Association for Information Science and Technology 53, 1-6, 2016
Toward a tool for sentiment analysis for german historic plays
T Schmidt, M Burghardt
Laboratoire laussannois d'informatique et statistique textuelle, 2018
„Kann man denn auch nicht lachend sehr ernsthaft sein?"–Zum Einsatz von Sentiment Analyse-Verfahren für die quantitative Untersuchung von Lessings Dramen
T Schmidt, M Burghardt, K Dennerlein
Universitäts-und Stadtbibliothek Köln, 2018
Senttext: A tool for lexicon-based sentiment analysis in digital humanities
T Schmidt, J Dangel, C Wolff
Werner Hülsbusch 74, 156-172, 2021
Distant reading of religious online communities: A case study for three religious forums on reddit
T Schmidt, F Kaindl, C Wolff
Sentiment annotation for lessing’s plays: Towards a language resource for sentiment analysis on german literary texts
T Schmidt, M Burghardt, K Dennerlein, C Wolff
RWTH Aachen, 2019
Katharsis–a tool for computational drametrics
T Schmidt, M Burghardt, K Dennerlein, C Wolff
Exploring online depression forums via text mining: A comparison of Reddit and a curated online forum
L Moßburger, F Wende, K Brinkmann, T Schmidt
Proceedings of the Fifth Social Media Mining for Health Applications …, 2021
Sentibooks: Enhancing audiobooks via affective computing and smart light bulbs
AM Ortloff, L Güntner, M Windl, T Schmidt, M Kocur, C Wolff
Proceedings of Mensch Und Computer 2019, 863-866, 2019
Distant reading sentiments and emotions in historic german plays
T Schmidt
Herausforderungen für sentiment analysis-verfahren bei literarischen texten
T Schmidt, M Burghardt, C Wolff
INF-DH-2018, 2018
Acquisition and Analysis of a Meme Corpus to Investigate Web Culture
T Schmidt, P Hartl, D Ramsauer, T Fischer, A Hilzenthaler, C Wolff
Digital Humanities Conference 2020 (DH 2020), 2020
Inter-rater agreement and usability: A comparative evaluation of annotation tools for sentiment annotation
T Schmidt, B Winterl, M Maul, A Schark, A Vlad, C Wolff
INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik–Informatik für …, 2019
Investigating the relationship between emotion recognition software and usability metrics
T Schmidt, M Schlindwein, K Lichtner, C Wolff
i-com 19 (2), 139-151, 2020
Audiencear-utilising augmented reality and emotion tracking to address fear of speech
P Hartl, T Fischer, A Hilzenthaler, M Kocur, T Schmidt
Proceedings of Mensch Und Computer 2019, 913-916, 2019
Towards a corpus of historical german plays with emotion annotations
T Schmidt, K Dennerlein, C Wolff
3rd Conference on Language, Data and Knowledge (LDK 2021), 2021
Der einsatz von distant reading auf einem korpus deutschsprachiger songtexte
T Schmidt, M Bauer, F Habler, H Heuberger, F Pilsl, C Wolff
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