GoViz

Public speech from government figures often describes relevant actions that can impact the population’s lives. However, most people do not have time and access to analyze and understand public speech. Such a scenario narrows the participation of the people in the main discussions, which leads to multiple misunderstandings. In this work, we propose GoViz, a tool that automatically produces visual representations to outline governmental speeches regarding the subject, its main actors, and how they connect to the discussion topics. GoViz processes natural language from speech transcriptions in a pipeline that identifies part-of-speech elements, named-entities, and the relation between persons, making speech content more accessible and insightful. Using publicly available data, we evaluate our tool in two different languages (Portuguese and English). The results demonstrate that the visualizations from both data facilitate understanding the speech content. Thus, our main contribution is to encourage the participation of citizens in parliamentary issues, allowing a simplified and visually engaging avenue to access long speeches and fostering improved communication between parliamentarians and the population.

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Publication Details

Journal
Conference on Digital Government Research
Published
2025-05-19
DOI
https://doi.org/10.59490/dgo.2025.954
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

GoViz

Isabel Harb Manssour, João Paulo Aires, Dalvan Griebler, Larissa Guder
Conference on Digital Government Research
Multimodal Machine Learning Applications
article

GoViz

Isabel Harb Manssour, João Paulo Aires, Dalvan Griebler, Larissa Guder
article en

Abstract

Public speech from government figures often describes relevant actions that can impact the population’s lives. However, most people do not have time and access to analyze and understand public speech. Such a scenario narrows the participation of the people in the main discussions, which leads to multiple misunderstandings. In this work, we propose GoViz, a tool that automatically produces visual representations to outline governmental speeches regarding the subject, its main actors, and how they connect to the discussion topics. GoViz processes natural language from speech transcriptions in a pipeline that identifies part-of-speech elements, named-entities, and the relation between persons, making speech content more accessible and insightful. Using publicly available data, we evaluate our tool in two different languages (Portuguese and English). The results demonstrate that the visualizations from both data facilitate understanding the speech content. Thus, our main contribution is to encourage the participation of citizens in parliamentary issues, allowing a simplified and visually engaging avenue to access long speeches and fostering improved communication between parliamentarians and the population.

Conference on Digital Government ResearchVol. 1
Pontifícia Universidade Católica do Rio Grande do Sul (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul
Openalex Percentile: Top 91%
Multimodal Machine Learning Applications
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