I joined Prof. Udo Hahn's Group in summer 2016 to follow up on the research associated with my Bachelor thesis on emotional language use by organizations. The focus of my work is both on the development of novel methodologies for measuring emotion in text as well as applying those methods in Computational Social Science and the Digital Humanities.
Buechel, S. & Hahn, U. (2017). EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017). Valencia, Spain, April 3-7, 2017 [paper accepted].
Buechel, S., & Hahn, U. (2016). Emotion Analysis as a Regression Problem - Dimensional Models and Their Implications on Emotion Representation and Metrical Evaluation. In ECAI 2016. 22nd European Conference on Artificial Intelligence. August 29 - September 2, 2016, The Hague, Netherlands (pp. 1114-1122).
Buechel, S., Hellrich, J., & Hahn, U. (2016). Feelings from the Past-Adapting Affective Lexicons for Historical Emotion Analysis. In Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH @COLING 2016). December 11, 2016, Osaka, Japan (pp. 54-61).
Buechel, S., Hahn, U., Goldenstein, J., Händschke, S. G. M., & Walgenbach, P. (2016). Do Enterprises Have Emotions? In Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA @NAACL-HLT 2016). June 16, 2016, San Diego, California, USA (pp. 147-153).
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