Abstract

We provide a method for visualizing the information associated with the clusters used for topic modeling of Instagram Message Feeds. For this purpose, a series of interactive dashboards are used to determine the right number of clusters and a suitable interpretation of each cluster. These extend previous approaches for regular text documents and focus on including specific information in Instagram feeds such as hashtags and linking structure.

OriginalspracheEnglisch
Titel2020 24th International Conference Information Visualisation, IV 2020
Redakteure/-innenEbad Banissi, Farzad Khosrow-Shahi, Anna Ursyn, Mark W. McK. Bannatyne, Joao Moura Pires, Nuno Datia, Kawa Nazemi, Boris Kovalerchuk, John Counsell, Andrew Agapiou, Zora Vrcelj, Hing-Wah Chau, Mengbi Li, Gehan Nagy, Richard Laing, Rita Francese, Muhammad Sarfraz, Fatma Bouali, Gilles Venturin, Marjan Trutschl, Urska Cvek, Heimo Muller, Minoru Nakayama, Marco Temperini, Tania Di Mascio, Filippo Sciarrone Veronica Rossano Rossano, Ralf Dorner, Loredana Caruccio, Autilia Vitiello, Weidong Huang, Michele Risi, Ugo Erra, Razvan Andonie, Muhammad Aurangzeb Ahmad, Ana Figueiras, Mabule Samuel Mabakane
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten435-439
Seitenumfang5
ISBN (elektronisch)9781728191348
DOIs
PublikationsstatusVeröffentlicht - Sep 2020
Veranstaltung24th International Conference Information Visualisation, IV 2020 - Melbourne, Australien
Dauer: 7 Sep 202011 Sep 2020

Publikationsreihe

NameProceedings of the International Conference on Information Visualisation
Band2020-September
ISSN (Print)1093-9547

Konferenz

Konferenz24th International Conference Information Visualisation, IV 2020
Land/GebietAustralien
OrtMelbourne
Zeitraum07.09.202011.09.2020

Schlagwörter

  • visualization
  • data clustering
  • interaction

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