TeMoTopic: Temporal Mosaic Visualisation of Topic Distribution, Keywords, and Context

Shane Sheehan, Saturnino Luz, Masood Masoodian


Abstract
In this paper we present TeMoTopic, a visualization component for temporal exploration of topics in text corpora. TeMoTopic uses the temporal mosaic metaphor to present topics as a timeline of stacked bars along with related keywords for each topic. The visualization serves as an overview of the temporal distribution of topics, along with the keyword contents of the topics, which collectively support detail-on-demand interactions with the source text of the corpora. Through these interactions and the use of keyword highlighting, the content related to each topic and its change over time can be explored.
Anthology ID:
2021.hackashop-1.8
Volume:
Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation
Month:
April
Year:
2021
Address:
Online
Venues:
EACL | Hackashop
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
56–61
Language:
URL:
https://aclanthology.org/2021.hackashop-1.8
DOI:
Bibkey:
Cite (ACL):
Shane Sheehan, Saturnino Luz, and Masood Masoodian. 2021. TeMoTopic: Temporal Mosaic Visualisation of Topic Distribution, Keywords, and Context. In Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, pages 56–61, Online. Association for Computational Linguistics.
Cite (Informal):
TeMoTopic: Temporal Mosaic Visualisation of Topic Distribution, Keywords, and Context (Sheehan et al., Hackashop 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.hackashop-1.8.pdf