Open access · Peer reviewed · No APCs
Research ArticleJournal of Scientometric ResearchVol. 14 | Issue 1 | 2025 | pp. 365–372Open access
Decoding Economic Insights: The Analytical Power of News Content
- 1*,
- 1
- 1 Language and Knowledge Engineering, Faculty of Computer Sciences, BUAP, Avenida San Claudio, Blvrd 14 Sur, Puebla, MEXICO.
Published in Journal of Scientometric Research
Correspondence: Pierre Delice
Language and Knowledge Engineering, Faculty of Computer Sciences, BUAP, Avenida San Claudio, Blvrd 14 Sur, Puebla, MEXICO.
Email: padelice@gmail.com
Copyright: © 2025 Manuscript Technomedia. This is an open access article.
- Published:
- Aug 25, 2025
- Received:
- Jul 25, 2024
- Accepted:
- Nov 14, 2024
How to cite
Delice, P., & Pinto, D. (2025). Decoding Economic Insights: The Analytical Power of News Content. Journal of Scientometric Research, 14(1), 365–372. https://doi.org/10.5530/jscires.20251459
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.
Keywords
Subject
Article metadata
| Title | Decoding Economic Insights: The Analytical Power of News Content |
|---|---|
| Authors | Pierre Delice; David Pinto |
| Affiliations | Language and Knowledge Engineering, Faculty of Computer Sciences, BUAP, Avenida San Claudio, Blvrd 14 Sur, Puebla, MEXICO. |
| Corresponding author | padelice@gmail.com |
| Journal | Journal of Scientometric Research |
| Volume / Issue | Vol. 14, Issue 1 (2025) |
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