Data Science Chair

    Albin Zehe, M.Sc.

    Albin Zehe

    Chair of Data Science (Informatik X)
    University of Würzburg
    Am Hubland
    97074 Würzburg

    Email: zehe <at> informatik.uni-wuerzburg.de

    Phone: (+49 931)  31 - 83217

    Office: Room B114 (Computer Science Building M2)


    Fingerprint: 4595 A504 61B7 CF2C 43FA 0479 D761 1688 5D96 19FE

    Research Interests

    My main interests are in the areas of Text Mining, Neural Networks and Classification in general. I also like to push reluctant people towards doing research in NLP :)
    My Master's Thesis was on Sentiment Analysis in the domain of literature,  which is generally still my core research area: I'm trying to find new ways of analysing novels using computers.

    In my spare time, I like to read books (mostly everything written by Tolkien ;)1) and watch TV shows.



    • Machine Learning for Natural Language Processing (Summer 2018, 2019, 2020, 2021)
    • Praktikum: Natural Language Processing (Always (except Summer 2021)... so, almost always?)
    • Introduction to Algorithms and Data Structures (Winter Term 2017/2018)
    • Information Retrieval (Summer 2017)
    • Seminar Web 2.0 (Summer 2017)

    Selected Publications

    This is a list of selected publications I have co-authored.

    A complete list can be found here.

    2021[ to top ]
    • Detecting Scenes in Ficti...
      Zehe, A., Konle, L., Dümpelmann, L., Gius, E., Hotho, A., Jannidis, F., Kaufmann, L., Krug, M., Puppe, F., Reiter, N., Schreiber, A., & Wiedmer, N. Detecting Scenes in Fiction: A new Segmentation Task. Proceedings of the 16th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 1, Long Papers.
    2020[ to top ]
    • HarryMotions – Classify...
      Zehe, A., Arns, J., Hettinger, L., & Hotho, A. HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis. 5th SwissText & 16th KONVENS Joint Conference.
    • {Bauer}, A., {Züfle}, M., {Herbst}, N., {Zehe}, A., {Hotho}, A., & {Kounev}, S. Time Series Forecasting for Self-Aware Systems. Proceedings of the IEEE, 1-26. https://doi.org/10.1109/JPROC.2020.2983857
    • Kobs, K., Zehe, A., Bernstetter, A., Chibane, J., Pfister, J., Tritscher, J., & Hotho, A. Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Twitch.tv Channels. ACM Transactions on Social Computing. https://doi.org/10.1145/3365523
    2018[ to top ]
    • Analysing Direct Speech i...
      Jannidis, F., Konle, L., Zehe, A., Hotho, A., & Krug, M. Analysing Direct Speech in German Novels. DHd 2018.
    2017[ to top ]
    • Towards Sentiment Analysi...
      Zehe, A., Becker, M., Jannidis, F., & Hotho, A. Towards Sentiment Analysis on German Literature. Joint German Austrian Conference on Artificial Intelligence (K{\"u}nstliche Intelligenz), 387-394.
    2016[ to top ]
    • Prediction of Happy Endin...
      Zehe, A., Becker, M., Hettinger, L., Hotho, A., Reger, I., & Jannidis, F. Prediction of Happy Endings in German Novels. In P. Cellier, T. Charnois, A. Hotho, S. Matwin, M.-F. Moens, & Y. Toussaint (Eds.), Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing 2016 (pp. 9-16). http://ceur-ws.org/Vol-1646/

    Other Scientific Activities


    • PC member for ACL 2021
    • PC member for EMNLP 2021
    • PC member for ECMLPKDD 2020 & 2021
    • PC member for ECAI 2020
    • PC member for AAAI 2020, 2021 & 2022 Student Programs
    • PC member for LaTeCH-CLfL 2021
    • Reviewer for ZfdG
    • Reviewer for DHd 2019 and 2020
    • Subreviewer for several conferences and journals

    Challenges and Shared Tasks