Analysing emerging topics across multiple social media platforms

Rashmi Pokharel, Pari Delir Haghighi, Prem Jayaraman, Dimitrios Georgakopoulos

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)

Abstract

The ability to compose emerging topics from the data collected from multiple social media platforms can help individuals and organisations meet their business goals and improve decision-making, as such information can provide more complete and accurate information. However, existing research has mainly focused on analysing emerging topics from the posts and related data collected from a single social media platform. In this paper, we propose a framework referred to as Multi-source Social Topic Media Analysis (xSMA) framework to model, rank and semantically analyse emerging topics across various social media platforms. The implementation and evaluation of the xSMA framework using real-world datasets obtained from Twitter and Reddit are also described.

Original languageEnglish
Title of host publicationProceedings of the Australasian Computer Science Week Multiconference 2019
EditorsTony Sahama, Ying Wang
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages9
ISBN (Electronic)9781450366038
DOIs
Publication statusPublished - 2019
EventAustralasian Workshop on Health Informatics and Knowledge Management (HIKM) 2019 - Sydney, Australia
Duration: 29 Jan 201931 Jan 2019
Conference number: 12th
https://web.archive.org/web/20190329212701/http://hikm.net.au/

Conference

ConferenceAustralasian Workshop on Health Informatics and Knowledge Management (HIKM) 2019
Abbreviated titleHIKM 2019
CountryAustralia
CitySydney
Period29/01/1931/01/19
Internet address

Keywords

  • Social media
  • topic modelling
  • topic ranking
  • topic similarity

Cite this

Pokharel, R., Delir Haghighi, P., Jayaraman, P., & Georgakopoulos, D. (2019). Analysing emerging topics across multiple social media platforms. In T. Sahama, & Y. Wang (Eds.), Proceedings of the Australasian Computer Science Week Multiconference 2019 [16] New York NY USA: Association for Computing Machinery (ACM). https://doi.org/10.1145/3290688.3290720