Prof. Dr. Felix Naumann

Tim Repke

Ph.D. student at the Infomation Systems Research Group

Contact Information

August-Bebel-Straße 88
D-14482 Potsdam

Room: F-2.07
Phone: 0331 5509 - 1382
Email: Tim Repke
Public-Key: CFDF1C9A
Web: https://repke.eu

Research Interests

  • Text Mining
  • Data Visualisation
  • Web Information Extraction
  • Network Analysis
  • Privacy

Business Communication Analysis

Today's business communication is almost unimaginable without emails. They document discussions and decisions or summarise face-to-face meetings in the form of unstructured text or attachments and thus hold a significant amount of information about a business.
In very exceptional cases, for example when investigating a known case of fraud, specialists examine inboxes and attached files of involved personnel to determine the extent of the situation. However, the sheer quantity of data is unmanageable without some guidance by an exploration tool.
This work touches the fields of text mining, text summarisation, document classification, topic modelling, named entity extraction, entity linking, relationship extraction, as well as social network-, and graph analysis. In this project, we bring these disciplines together in a novel tool that helps steer forensic data exploration.

To find out more about the project, click here.

Supervision of Theses

  • Finding correleations between text, company networks, and stock prices over time
    (Kellermeier, April 2019, published at MIDAS@ECML/PKDD)
  • Evaluation of diachronic and multi-sense embeddings on sustainability research papers
    (Fischer, January 2020)
  • What do these two books have in common? – Multi-Aspect Embeddings for Fiction Novels
    (Kohlmeyer, May 2021)
  • Deep Learning for Rap Lyrics Generation Conditioned on Rhythm and Flow
    (Danz, June 2021)
  • Modeling the Evolution of Language Using Word Co-occurrences
    (Schwanhold, October 2021)



  • Extraction and Representa... - Download
    Repke, Tim, and Ralf Krestel. ‘Extraction and Representation of Financial Entities from Text’. In Data Science for Economics and Finance, edited by S. Consoli, D. Reforgiato Recupero, and M. Saisana, 241–263. Springer, Cham, 2021. https://link.springer.com/chapter/10.1007/978-3-030-66891-4_11.
  • Modeling the Evolution of... - Download
    Schwanhold, Robert, Tim Repke, and Ralf Krestel. ‘Modeling the Evolution of Word Senses With Force-Directed Layouts of Co-Occurrence Networks’. Proceedings of the 2nd International Workshop on Computational Approaches to Historical Language Change (LChange@ACL 2021) (2021): 1–6.
  • ComEx: Comment Exploratio... - Download
    Risch, Julian, Tim Repke, Lasse Kohlmeyer, and Ralf Krestel. ‘ComEx: Comment Exploration on Online News Platforms’. In Joint Proceedings of the ACM IUI 2021 Workshops Co-Located With the 26th ACM Conference on Intelligent User Interfaces (IUI), 1–7. CEUR Workshop Proceedings. CEUR-WS.org, 2021. https://github.com/julian-risch/ESIDA2021.
  • Robust Visualisation of D... - Download
    Repke, Tim, and Ralf Krestel. ‘Robust Visualisation of Dynamic Text Collections: Measuring and Comparing Dimensionality Reduction Algorithms’. In ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR), 1–4, 2021.
  • Ein Data Engineering Kurs... - Download
    Alder, Nicolas, Tobias Bleifuß, Leon Bornemann, Felix Naumann, and Tim Repke. ‘Ein Data Engineering Kurs für 10.000 Teilnehmer’. Datenbank-Spektrum 20, no. 1 (2021): 5–9. https://link.springer.com/article/10.1007/s13222-020-00354-8.
  • Sense Tree: Discovery of ... - Download
    Ehmüller, Jan, Lasse Kohlmeyer, Holly McKee, Daniel Paeschke, Tim Repke, Ralf Krestel, and Felix Naumann. ‘Sense Tree: Discovery of New Word Senses With Graph-Based Scoring’. In Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen" (LWDA), 1–12, 2020.
  • Visualising Large Documen... - Download
    Repke, Tim, and Ralf Krestel. ‘Visualising Large Document Collections by Jointly Modeling Text and Network Structure’. Proceedings of the Joint Conference on Digital Libraries (JCDL) (2020).
  • Exploration Interface for... - Download
    Repke, Tim, and Ralf Krestel. ‘Exploration Interface for Jointly Visualised Text and Graph Data’. International Conference on Intelligent User Interfaces Companion (IUI ’20) (2020).
  • Mining Business Relations... - Download
    Kellermeier, Thomas, Tim Repke, and Ralf Krestel. ‘Mining Business Relationships from Stocks and News’. MIDAS@ECML-PKDD (2019).
  • The Challenges of Creatin... - Download
    Loster, Michael, Tim Repke, Ralf Krestel, Felix Naumann, Jan Ehmueller, Benjamin Feldmann, and Oliver Maspfuhl. ‘The Challenges of Creating, Maintaining and Exploring Graphs of Financial Entities’. In Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling (DSMM 2018). ACM, 2018. https://doi.org/10.1145/3220547.3220553.
  • Beacon in the Dark: A Sys... - Download
    Repke, Tim, Ralf Krestel, Jakob Edding, Moritz Hartmann, Jonas Hering, Dennis Kipping, Hendrik Schmidt, Nico Scordialo, and Alexander Zenner. ‘Beacon in the Dark: A System for Interactive Exploration of Large Email Corpora’. In Proceedings of the International Conference on Information and Knowledge Management (CIKM), 1–4. ACM, 2018.
  • Topic-aware Network Visua... - Download
    Repke, Tim, and Ralf Krestel. ‘Topic-Aware Network Visualisation to Explore Large Email Corpora’. International Workshop on Big Data Visual Exploration and Analytics (BigVis). Workshop Proceedings of the EDBT/ICDT 2018 Joint Conference (March 2018).
  • Bringing Back Structure t... - Download
    Repke, Tim, and Ralf Krestel. ‘Bringing Back Structure to Free Text Email Conversations With Recurrent Neural Networks’. In 40th European Conference on Information Retrieval (ECIR 2018). Grenoble, France: Springer, 2018. http://www.ecir2018.org.
  • Giesler, M. Jürgen, Bettina Keller, Tim Repke, Rainer Leonhart, Joachim Weis, Rebecca Muckelbauer, Nina Rieckmann, Jacqueline Müller-Nordhorn, Gabriele Lucius-Hoene, and Christine Holmberg. ‘Effect of a Website That Presents Patients’ Experiences on Self-Efficacy and Patient Competence of Colorectal Cancer Patients: Web-Based Randomized Controlled Trial’. J Med Internet Res 19, no. 10 (October 13, 2017): e334. http://www.jmir.org/2017/10/e334/.
  • Comparing Features for Ra... - Download
    Repke, Tim, Michael Loster, and Ralf Krestel. ‘Comparing Features for Ranking Relationships Between Financial Entities Based on Text’. In Proceedings of the 3rd International Workshop on Data Science for Macro--Modeling With Financial and Economic Datasets, 12:1–12:2. DSMM’17. New York, NY, USA: ACM, 2017. http://doi.acm.org/10.1145/3077240.3077252.
  • Extraction Of Citation Da... - Download
    Repke, Tim. ‘Extraction Of Citation Data From Websites Based On Visual Cues’. Master thesis, Humboldt-Universität zu Berlin, 2016.
  • Engler, Jennifer, Sandra Adami, Yvonne Adam, Bettina Keller, Tim Repke, Hella Fügemann, Gabriele Lucius-Hoene, Jacqueline Müller-Nordhorn, and Christine Holmberg. ‘Using others’ Experiences. Cancer patients’ Expectations and Navigation of a Website Providing Narratives on Prostate, Breast and Colorectal Cancer’. Patient Education and Counseling 99, no. 8 (August 2016): 1325–1332. http://www.sciencedirect.com/science/article/pii/S0738399116301197.