Work

Decoding Economic Insights: The Analytical Power of News Content

Year: 2025

Type: article

Abstract: In this article, we explore the potential of textual data as an alternative source for economic analysis. We employ a range of data extraction and labeling techniques, including domain expert, rule-based approaches and pre-trained language models to determine the polarity of textual data. By compiling a corpus of Spanish news articles from Mexico spanning 2006 to 2023 and comparing our sentiment index with economic data from official agencies, we demonstrate that news articles can serve a reliable source for economic analysis.

Source: Journal of Scientometric Research

DOI: 10.5530/jscires.20251459

Authors: Pierre Delice, David Pinto

Institution: Benemérita Universidad Autónoma de Puebla

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4408949350

FWCI:

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