A topic detection and visualisation system on social media posts

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Título:	A topic detection and visualisation system on social media posts
Autor/a:	Andreadis, Stelios; Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis
Abstract:	Comunicació presentada a: Internet Science. 4th International Conference, INSCI 2017 celebrada del 22 al 24 de novembre de 2017 a Thessaloniki, Grècia.
Abstract:	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.
Abstract:	This work was supported by the EC-funded projects H2020-645012 (KRISTINA) and H2020-700475 (beAWARE).
Materia(s):	-Topic detection and visualisation -Twitter posts -keyword-based search -Topic-based filtering
Derechos:	© Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-70284-1_33
Tipo de documento:	Objeto de conferencia Artículo - Versión aceptada
Editor:	Springer
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