KIT | KIT-Bibliothek | Impressum | Datenschutz

Temporal Evolution of the Migration-related Topics on Social Media?

Chen, Y.; Gesese, G. A. ORCID iD icon; Sack, H.; Alam, M.; Seneviratne O., Sequeda J. Etcheverry L., Pesquita C. [Hrsg.]


This poster focuses on capturing the temporal evolution of migration-related topics on relevant tweets. It uses Dynamic Embedded Topic Model (DETM) as a learning algorithm to perform a quantitative and qualitative analysis of these emerging topics. TweetsKB is extended with the extracted Twitter dataset along with the results of DETM which considers temporality. These results are then further analyzed and visualized. It reveals that the trajectories of the migration-related topics are in agreement with historical events.

Verlagsausgabe §
DOI: 10.5445/IR/1000139814
Veröffentlicht am 26.02.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000139814
Erschienen in ISWC-Posters-Demos-Industry 2021, International Semantic Web Conference (ISWC) 2021: Posters, Demos, and Industry Tracks. Ed.: O. Seneviratne
Verlag RWTH Aachen
Seiten Code 172525 (5 S.)
Serie Ceur Workshop Proceedings ; 2980
Bemerkung zur Veröffentlichung Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice

co-located with 20th International Semantic Web Conference (ISWC 2021)

Virtual Conference, October 24-28, 2021.
Nachgewiesen in Scopus
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page