RT Conference Proceedings
T1 Towards an annotation schema of financial discourse based on functional discourse analysis
A1 Fernández Cruz, Javier
A1 Muñoz-Toala, Irina
K1 Lingüística computacional
K1 Análisis del discurso
AB The aim of this presentation is to explore the structure of economic opinion news texts and its implications for sentiment analysis. The Lingmotif sentiment analysis tool has achieved great results in detecting polarity in texts but further improvements can be made by studying textual structure. The Functional Discourse Units model is used to identify discourse segments issued by the opinion holder for correct polarity assignment. The scheme for text segments consists of five layers: polarity, discursive functions, aspect, entity, and opinion holder. A corpus of economic opinion news columns from three major English-language newspapers is annotated to generate a comprehensive dataset for improving sentiment analysis and to provide insights into textual linguistics such as discourse markers and news values. Preliminary results offer numerous opportunities for improving sentiment analysis and provide a great panoramic view on textual linguistics.
YR 2023
FD 2023-05-12
LK https://hdl.handle.net/10630/26555
UL https://hdl.handle.net/10630/26555
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026