FinancES 2023

This dataset consists of Spanish news headlines collected from digital newspapers specialized in economic, financial and political news. Each headline in the corpus was labeled with the target entity and the sentiment polarity on three dimensions: target, companies and consumers. That is, given a headline, it was manually classified as positive, neutral or negative for three specific entities: (i) target (i.e., the specific company or asset to which the economic fact applies), (ii) companies (i.e., the entities that produce the goods and services that others consume), and (iii) consumers (i.e., households/individuals). The final dataset consists of 7980 headlines.

Language(s)
Spanish
Year
2023
Domain
Finance
Text types
News headlines
Annotations
target entity of the sentiment and the sentiment polarity per entity on three dimensions: target, companies and consumers
Data access
Registration

Publication
José Antonio Garcia-Díaz, Ángela Almela, Francisco García-Sánchez, Gema Alcaraz-Mármol, María José Marín, Rafael Valencia-García (2023) Overview of FinancES 2023: Financial Targeted Sentiment Analysis in Spanish. Procesamiento del Lenguaje Natural, Revista nº 71, septiembre de 2023, pp. 417-423.
NLP Topic
Number of units
7980
Type of units
News headlines
Sentences
7980
Training set size
6359
Test set size
1621

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.