Seuraa
Thomas Schmidt
Thomas Schmidt
Media Informatics Group, University of Regensburg, Germany
Vahvistettu sähköpostiosoite verkkotunnuksessa ur.de - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
An evaluation of lexicon-based sentiment analysis techniques for the plays of gotthold ephraim lessing
T Schmidt, M Burghardt
Association for Computational Linguistics, 2018
622018
Sentiment annotation of historic german plays: An empirical study on annotation behavior
T Schmidt, M Burghardt, K Dennerlein
282018
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 …, 2020
222020
Senttext: A tool for lexicon-based sentiment analysis in digital humanities
T Schmidt, J Dangel, C Wolff
Werner Hülsbusch 74, 156-172, 2021
212021
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
212019
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
212019
Personality and information behavior in web search
T Schmidt, C Wolff
Proceedings of the Association for Information Science and Technology 53 (1 …, 2016
182016
Distant reading of religious online communities: A case study for three religious forums on reddit
T Schmidt, F Kaindl, C Wolff
172020
The Mood Game-How to Use the Player's Affective State in a Shoot'em up Avoiding Frustration and Boredom
D Halbhuber, J Fehle, A Kalus, K Seitz, M Kocur, T Schmidt, C Wolff
Proceedings of Mensch Und Computer 2019, 867-870, 2019
162019
Toward a tool for sentiment analysis for german historic plays
T Schmidt, M Burghardt
Laboratoire laussannois d'informatique et statistique textuelle, 2018
162018
„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
152018
Emotion classification in German plays with transformer-based language models pretrained on historical and contemporary language
T Schmidt, K Dennerlein, C Wolff
Association for Computational Linguistics, 2021
142021
Lexicon-based Sentiment Analysis in German: Systematic Evaluation of Resources and Preprocessing Techniques
J Fehle, T Schmidt, C Wolff
KONVENS 2021 Organizers, 2021
142021
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
142021
Katharsis–a tool for computational drametrics
T Schmidt, M Burghardt, K Dennerlein, C Wolff
142019
Using deep learning for emotion analysis of 18th and 19th century German plays
T Schmidt, K Dennerlein, C Wolff
Melusina Press, 2021
132021
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
132019
Distant reading sentiments and emotions in historic german plays
T Schmidt
132019
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
112020
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
112019
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20