Andreadis, SteliosGialampoukidis, IliasVrochidis, StefanosKompatsiaris, Ioannis2018-03-212018-03-212017Andreadis S, Gialampoukidis I, Vrochidis S, Kompatsiaris I. A topic detection and visualisation system on social media posts. In: Kompatsiaris I, Cave J, Satsiou A, Carle G, Passani A, Kontopoulos E, Diplaris S, McMillan D, editors. Internet Science. 4th International Conference, INSCI 2017 Proceedings; 2017 Nov 22-24; Thessaloniki, Greece. Cham: Springer; 2017. p. 421-7. (LNCS; no. 10673). DOI: 10.1007/978-3-319-70284-1_330302-9743http://hdl.handle.net/10230/34229Comunicació presentada a: Internet Science. 4th International Conference, INSCI 2017 celebrada del 22 al 24 de novembre de 2017 a Thessaloniki, Grècia.Large amounts of social media posts are produced on a daily basis and monitoring all of them is a challenging task. In this direction we demonstrate a topic detection and visualisation tool in Twitter data, which filters Twitter posts by topic or keyword, in two different languages; German and Turkish. The system is based on state-of-the-art news clustering methods and the tool has been created to handle streams of recent news information in a fast and user-friendly way. The user interface and user-system interaction examples are presented in detail.application/pdfeng© Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-70284-1_33info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1007/978-3-319-70284-1_33Topic detection and visualisationTwitter postsKeyword-based searchTopic-based filteringinfo:eu-repo/semantics/openAccess