Towards Entity Timeline Analysis in Polish Political News

  • Katarzyna Baraniak
  • Marcin Sydow
Part of the Studies in Big Data book series (SBD, volume 40)


Our work presents a simple method of analysing occurrences of entities in news articles. We demonstrate that frequency of named entities in news articles is a reflection of events in real world related to these entities. Occurrences and co-occurrences of entities between portals were compared. We made visualisation of entities frequency in a timeline which can be used to analyse the history of entity occurrences.



The work is partially supported by the Polish National Science Centre grant 2012/07/B/ST6/01239.


  1. 1.
    Althoff, T., Dong, X.L., Murphy, K., Alai, S., Dang, V., Zhang, W.: Timemachine: timeline generation for knowledge-base entities. CoRR (2015). arXiv:1502.04662,
  2. 2.
    Marcinczuk, M., Kocon, J., Janicki, M.: Liner2 - a customizable framework for proper names recognition for polish. In: Bembenik, R., Skonieczny, L., Rybinski, H., Kryszkiewicz, M., Niezgodka, M. (eds.) Intelligent Tools for Building a Scientific Information Platform. Studies in Computational Intelligence, pp. 231–253. Springer, Berlin (2013).
  3. 3.
    Mazeika, A., Tylenda, T., Weikum, G.: Entity timelines: visual analytics and named entity evolution. In: Macdonald, C., Ounis, I., Ruthven, I. (eds.) CIKM. pp. 2585–2588. ACM (2011).
  4. 4.
    Saleiro, P., Teixeira, J., Soares, C., Oliveira, E.: Timemachine: Entity-centric search and visualization of news archives. In: European Conference on Information Retrieval. pp. 845–848. Springer (2016)Google Scholar
  5. 5.
    Shahaf, D., Guestrin, C.: Connecting the dots between news articles. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. pp. 623–632. KDD ’10, ACM, New York (2010).

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Polish-Japanese Academy of Information TechnologyWarsawPoland
  2. 2.Institute of Computer SciencePolish Academy of SciencesWarsawPoland

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