A topic detection and visualisation system on social media posts

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dc.contributor.authorAndreadis, Steliosca
dc.contributor.authorGialampoukidis, Iliasca
dc.contributor.authorVrochidis, Stefanosca
dc.contributor.authorKompatsiaris, Ioannisca
dc.date.accessioned2018-03-21T16:33:16Z
dc.date.available2018-03-21T16:33:16Z
dc.date.issued2017
dc.descriptionComunicació presentada a: Internet Science. 4th International Conference, INSCI 2017 celebrada del 22 al 24 de novembre de 2017 a Thessaloniki, Grècia.ca
dc.description.abstractLarge 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.en
dc.description.sponsorshipThis work was supported by the EC-funded projects H2020-645012 (KRISTINA) and H2020-700475 (beAWARE).en
dc.format.mimetypeapplication/pdf
dc.identifier.citationAndreadis 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_33
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-319-70284-1_33
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10230/34229
dc.language.isoeng
dc.publisherSpringerca
dc.relation.ispartofKompatsiaris 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).
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/645012
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020//700475
dc.rights© Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-70284-1_33
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordTopic detection and visualisationen
dc.subject.keywordTwitter postsen
dc.subject.keywordKeyword-based searchen
dc.subject.keywordTopic-based filteringen
dc.titleA topic detection and visualisation system on social media postsca
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

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