A flexible and lightweight interactive data mining tool to visualize and analyze digital citizen participation content
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Association for Computing MachineryDate
2020Citation
10.1145/3412841.3442081
Sergio Bachiller, Lara Quijano-Sánchez, and Iván Cantador. 2021. A flexible and lightweight interactive data mining tool to visualize and analyze digital citizen participation content. In Proceedings of ACM SAC Conference (SAC’21). ACM, New York, NY, USA, Article 4, 4 pages.
ISBN
978-1450-38104-8DOI
10.1145/3412841.3442081Funded by
This work was conducted with financial support from the Spanish Ministry of Science and Innovation (PID2019-108965GB-I00) and the Centre of Andalusian Studies (PR137/19)Project
Gobierno de España. PID2019-108965GB-I00Editor's Version
https://doi.org/10.1145/3412841.3442081Subjects
citizen participation; civic technologies; data clustering; data visualization; text similarity; InformáticaNote
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org"© Author(s), {2020}. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published inProceedings of the 36th Annual ACM Symposium on Applied Computing, http://dx.doi.org/10.1145/3412841.3442081
Rights
© The author(s)Abstract
Addressing information overload in current e-participation platforms, we present a lightweight web application consisting of a simple HTML-based data panel that, through the use of date, location and category based filters, and several interactive graphs, allows visualizing, exploring and analyzing data obtained from public deliberation platforms in an easy and clear way. The tool, which implements natural language processing, text similarity, and graph clustering techniques to group citizen proposals, may serve as a decision support system for the municipal government, and may contribute to increase the citizens' participation and engagement
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Google Scholar:Bachiller, Sergio
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Quijano Sánchez, Lara
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Cantador Gutiérrez, Iván
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