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)

Feel free to contact me if you are interested in analysing communication graphs, extracting information from (email) text, classifying mails, visualising those communications or ideas beyond that. There are probably interesting follow-up tasks to my masters thesis on the extraction of citation data from websites based on visual cues.

Check out my idea backlog or our official list of theses.



  • 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 (2020).
  • 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 (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 (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 (2016): 1325–1332. http://www.sciencedirect.com/science/article/pii/S0738399116301197.