The aim of this task is to extend the challenge of sentiment analysis in Spanish to the financial domain, in order to extract the sentiment that a piece of financial information can have for several actors, including the main economic target (i.e., the specific company or asset where the economic fact applies), other companies (i.e., the entities producing the goods and services that others consume) and consumers (i.e., households/individuals). The task consists on identifying the main economic target from financial news headlines and determining the sentiment polarity (positive, neutral or negative) towards such target.
Task results
System | MacroF1 Sort ascending |
---|---|
abc111 | 0.7922 |
LLI-UAM | 0.7921 |
ABCD Team | 0.7821 |
SINAI | 0.7780 |
Ankit Singh Raikuni | 0.5542 |
UTB-NLP | 0.5292 |
NLP_URJC | 0.5144 |
Team ITST | 0.2769 |
UNAM Text Mining | 0.1346 |