@inproceedings{ferreira-etal-2026-flowdisco,
title = "{F}low{D}isco: Interactive Exploration of Dialogue Flows",
author = "Ferreira, Patr{\'i}cia and
Loureiro, Carolina and
Alves, Ana and
Silva, Catarina and
Oliveira, Hugo Gon{\c{c}}alo",
editor = "Souza, Marlo and
de-Dios-Flores, Iria and
Santos, Diana and
Freitas, Larissa and
Souza, Jackson Wilke da Cruz and
Ribeiro, Eug{\'e}nio",
booktitle = "Proceedings of the 17th International Conference on Computational Processing of {P}ortuguese ({PROPOR} 2026) - Vol. 2",
month = apr,
year = "2026",
address = "Salvador, Brazil",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.propor-2.5/",
pages = "14--17",
ISBN = "979-8-89176-387-6",
abstract = "Analyzing large conversational datasets is often inefficient due to the linear nature of text, which hinders the tracking of interaction evolution over time. To address this, we present FlowDisco, an interactive platform for the automatic discovery and exploration of dialogue flows. The framework uses semantic embeddings and modular clustering to transform raw text into probabilistic dialogue flows. By providing a web interface with dynamic filtering and a suite of analytical metrics, FlowDisco simplifies the visual identification and validation of conversational behaviors at scale. The platform{'}s utility is demonstrated through real-world application scenarios, including customer support interactions and multi-party political debates, where it successfully uncovers complex patterns and sentiment shifts that traditional sequential analysis often overlooks."
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<abstract>Analyzing large conversational datasets is often inefficient due to the linear nature of text, which hinders the tracking of interaction evolution over time. To address this, we present FlowDisco, an interactive platform for the automatic discovery and exploration of dialogue flows. The framework uses semantic embeddings and modular clustering to transform raw text into probabilistic dialogue flows. By providing a web interface with dynamic filtering and a suite of analytical metrics, FlowDisco simplifies the visual identification and validation of conversational behaviors at scale. The platform’s utility is demonstrated through real-world application scenarios, including customer support interactions and multi-party political debates, where it successfully uncovers complex patterns and sentiment shifts that traditional sequential analysis often overlooks.</abstract>
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%0 Conference Proceedings
%T FlowDisco: Interactive Exploration of Dialogue Flows
%A Ferreira, Patrícia
%A Loureiro, Carolina
%A Alves, Ana
%A Silva, Catarina
%A Oliveira, Hugo Gonçalo
%Y Souza, Marlo
%Y de-Dios-Flores, Iria
%Y Santos, Diana
%Y Freitas, Larissa
%Y Souza, Jackson Wilke da Cruz
%Y Ribeiro, Eugénio
%S Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 2
%D 2026
%8 April
%I Association for Computational Linguistics
%C Salvador, Brazil
%@ 979-8-89176-387-6
%F ferreira-etal-2026-flowdisco
%X Analyzing large conversational datasets is often inefficient due to the linear nature of text, which hinders the tracking of interaction evolution over time. To address this, we present FlowDisco, an interactive platform for the automatic discovery and exploration of dialogue flows. The framework uses semantic embeddings and modular clustering to transform raw text into probabilistic dialogue flows. By providing a web interface with dynamic filtering and a suite of analytical metrics, FlowDisco simplifies the visual identification and validation of conversational behaviors at scale. The platform’s utility is demonstrated through real-world application scenarios, including customer support interactions and multi-party political debates, where it successfully uncovers complex patterns and sentiment shifts that traditional sequential analysis often overlooks.
%U https://aclanthology.org/2026.propor-2.5/
%P 14-17
Markdown (Informal)
[FlowDisco: Interactive Exploration of Dialogue Flows](https://aclanthology.org/2026.propor-2.5/) (Ferreira et al., PROPOR 2026)
ACL
- Patrícia Ferreira, Carolina Loureiro, Ana Alves, Catarina Silva, and Hugo Gonçalo Oliveira. 2026. FlowDisco: Interactive Exploration of Dialogue Flows. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 2, pages 14–17, Salvador, Brazil. Association for Computational Linguistics.