Work

Integration of Systemic Functional Grammar to improve automated sentiment analysis with GPT-4o

Year: 2025

Type: article

Abstract: This study first examines the uncertainties and ambiguities underlying the practical and theoretical foundations of SA, particularly the challenges associated with the discretization of linguistic categories, a well-documented issue in linguistics. It then evaluates the impact of integrating SFG into GPT-based automatic SA detection by comparing human annotations, transformer-based machine learning annotations, GPT-4o predictions without SFG, and GPT-4o predictions with SFG. The use case is a sample of Italian Twitter posts from late 2013 to early 2015, drawn from the xLiMe Twitter Corpus (Rei, Mladenić, and Krek 2016).

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15374923

Author: Viola, Lorella

Institution: Vrije Universiteit Amsterdam

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6930988840

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