Title:
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A topic detection and visualisation system on social media posts
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Author:
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Andreadis, Stelios; Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis
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Abstract:
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Comunicació presentada a: Internet Science. 4th International Conference, INSCI 2017 celebrada del 22 al 24 de novembre de 2017 a Thessaloniki, Grècia. |
Abstract:
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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:
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This work was supported by the EC-funded projects H2020-645012 (KRISTINA)
and H2020-700475 (beAWARE). |
Subject(s):
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-Topic detection and visualisation -Twitter posts -keyword-based search -Topic-based filtering |
Rights:
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© Springer The final publication is available at Springer via
http://dx.doi.org/10.1007/978-3-319-70284-1_33 |
Document type:
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Conference Object Article - Accepted version |
Published by:
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Springer
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