A Conversational Data Visualisation Platform for Hierarchical Multivariate Data
Abstract
This paper presents a novel data visualisation platform that integrates both direct manipulation and conversational interaction styles for analysing hierarchical multivariate data. The proposed architecture is based on the Rasa conversational AI framework. We show its full potential in a real-life case study for analysing hate speech in online news.
BibTeX
@inproceedings {10.2312:evp.20231053,
booktitle = {EuroVis 2023 - Posters},
editor = {Gillmann, Christina and Krone, Michael and Lenti, Simone},
title = {{A Conversational Data Visualisation Platform for Hierarchical Multivariate Data}},
author = {Kavaz, Ecem and Rodríguez, Inmaculada and Puig, Anna and Vives, Eduard},
year = {2023},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-220-2},
DOI = {10.2312/evp.20231053}
}
booktitle = {EuroVis 2023 - Posters},
editor = {Gillmann, Christina and Krone, Michael and Lenti, Simone},
title = {{A Conversational Data Visualisation Platform for Hierarchical Multivariate Data}},
author = {Kavaz, Ecem and Rodríguez, Inmaculada and Puig, Anna and Vives, Eduard},
year = {2023},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-220-2},
DOI = {10.2312/evp.20231053}
}
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Except where otherwise noted, this item's license is described as Attribution 4.0 International License