A Conversational Data Visualisation Platform for Hierarchical Multivariate Data

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Date
2023
Authors
Kavaz, Ecem
Rodríguez, Inmaculada
Puig, Anna
Vives, Eduard
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description

CCS Concepts: Human-centered computing -> Visualization; Visualization toolkits; Computing methodologies -> Natural language processing

        
@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
}
}
Citation
URI
https://doi.org/10.2312/evp.20231053
 https://diglib.eg.org:443/handle/10.2312/evp20231053
Collections
EuroVisPosters2023