LUCE: A Dynamic Framework and Interactive Dashboard for Opinionated Text Analysis

Omnia Zayed, Gaurav Negi, Sampritha Hassan Manjunath, Devishree Pillai, Paul Buitelaar


Abstract
We introduce LUCE, an advanced dynamic framework with an interactive dashboard for analysing opinionated text aiming to understand people-centred communication. The framework features computational modules of text classification and extraction explicitly designed for analysing different elements of opinions, e.g., sentiment/emotion, suggestion, figurative language, hate/toxic speech, and topics. We designed the framework using a modular architecture, allowing scalability and extensibility with the aim of supporting other NLP tasks in subsequent versions. LUCE comprises trained models, python-based APIs, and a user-friendly dashboard, ensuring an intuitive user experience. LUCE has been validated in a relevant environment, and its capabilities and performance have been demonstrated through initial prototypes and pilot studies.
Anthology ID:
2025.coling-demos.11
Volume:
Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations
Month:
January
Year:
2025
Address:
Abu Dhabi, UAE
Editors:
Owen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara Di Eugenio, Steven Schockaert, Brodie Mather, Mark Dras
Venue:
COLING
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
104–116
Language:
URL:
https://aclanthology.org/2025.coling-demos.11/
DOI:
Bibkey:
Cite (ACL):
Omnia Zayed, Gaurav Negi, Sampritha Hassan Manjunath, Devishree Pillai, and Paul Buitelaar. 2025. LUCE: A Dynamic Framework and Interactive Dashboard for Opinionated Text Analysis. In Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations, pages 104–116, Abu Dhabi, UAE. Association for Computational Linguistics.
Cite (Informal):
LUCE: A Dynamic Framework and Interactive Dashboard for Opinionated Text Analysis (Zayed et al., COLING 2025)
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PDF:
https://aclanthology.org/2025.coling-demos.11.pdf