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

Shane Sheehan, Saturnino Luz, Masood Masoodian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.

Original languageEnglish
Title of host publicationEACL Hackashop on News Media Content Analysis and Automated Report Generation, Hackashop 2021 at 16th conference of the European Chapter of the Association for Computational Linguistics, EACL 2021 - Proceedings
EditorsHannu Toivonen, Michele Boggia
PublisherAssociation for Computational Linguistics (ACL)
Pages56-61
Number of pages6
ISBN (Electronic)9781954085138
Publication statusPublished - 16 Apr 2021
Event2021 EACL Hackashop on News Media Content Analysis and Automated Report Generation, Hackashop 2021 - Virtual, Online
Duration: 19 Apr 2021 → …

Publication series

NameEACL Hackashop on News Media Content Analysis and Automated Report Generation, Hackashop 2021 at 16th conference of the European Chapter of the Association for Computational Linguistics, EACL 2021 - Proceedings

Conference

Conference2021 EACL Hackashop on News Media Content Analysis and Automated Report Generation, Hackashop 2021
CityVirtual, Online
Period19/04/21 → …

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