Evgeny Kim

Herr  Evgeny  Kim

Telefon +49 711 685-81395
Universität Stuttgart
Institut für Maschinelle Sprachverarbeitung
Pfaffenwaldring 5 b
70569 Stuttgart


By email appointment

I am a PhD student at the Centre for Reflected Text Analytics (CRETA).

I got my MA in Computational Linguistics from Indiana University, Bloomington. I am also alumni of Fulbright Foreign Student Program for Russia (2014-2016). My previous background is in Linguistics and Translation Studies. 

  • Digital humanities
  • Emotion analysis

WS 2018/2019

  • Emotion Analysis and Affective Computing

WS 2017/2018

  • Emotion Analysis and Affective Computing

WS 2016/2017

  • Emotion Analysis and Affective Computing


  • Kim, Evgeny, and Klinger, Roman. Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to classify emotional relationships of fictional characters. In Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, June 2019. Association for Computational Linguistics.


  • Kim, Evgeny, and Roman Klinger. "A Survey on Sentiment and Emotion Analysis for Computational Literary Studies." arXiv preprint arXiv:1808.03137 (2018).
  • Kim, Evgeny, and Roman Klinger. "Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions." In Proceedings of the 27th International Conference on Computational Linguistics, pp. 1345-1359. 2018.
  • Barth, Florian, and Kim,Evgeny, and Murr, Sandra, and Klinger, Roman. "A reporting tool for relational visualization and analysis of character mentions in literature". DhD, Köln, 2018.


  • Kim, E., Padó, S., & Klinger, R. (2017). Investigating the Relationship between Literary Genres and Emotional Plot Development. In Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (pp. 17-26).
  • Kim, E., Padó S., & Klinger, R. (2017). Prototypical Emotion Developments in Literary Genres. In Digital Humanities 2017: Conference Abstracts, Montréal, Canada, August 2017. McGill University and Université de Montréal.
  • Köper, M., Kim, E., & Klinger, R. (2017). IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep Learning. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (pp. 50-57).


  • Dakota, D., Gilmanov, T., Li, W., Kuzma, C., Kim, E., Mokh, N. A., & Kübler, S. Do Free Word
    Order Languages Need More Treebank Data? Investigating Dative Alternation in German, English,
    and Russian. Proceedings of SPMRL (2015)


  • Kim, E. Towards the Question of Translatability of Sketch Show Humor (the case of A Bit of Fray
    and Laurie). Proceedings of Irkutsk State Linguistic University, 1(22) (2013)
  • Kim, E. Overcoming Cognitive Dissonance in Audiovisual Translation (on the material of The
    Friends sitcom). Proceedings of Voronezh State University (1) (2013)