Abstract
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.
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Acknowledgements
The work is partially supported by the Polish National Science Centre grant 2012/07/B/ST6/01239.
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Baraniak, K., Sydow, M. (2019). Towards Entity Timeline Analysis in Polish Political News. In: Bembenik, R., Skonieczny, Ł., Protaziuk, G., Kryszkiewicz, M., Rybinski, H. (eds) Intelligent Methods and Big Data in Industrial Applications. Studies in Big Data, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-319-77604-0_23
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