The rise of social media has enabled individuals with biased perspectives to spread hate
speech, directing it toward individuals based on characteristics such as race, gender …

Despite Spanish's pivotal role in the global finance industry, a pronounced gap exists in
Spanish financial natural language processing (NLP) and application studies compared to …

Disinformation, including fake news and hoaxes, is a significant problem, aggravated by
digital media and social networks, which requires automatic detection tools. The FLARES …

In the financial field, texts such as news and commentaries, as carriers of public opinion,
have the function of reflecting investor sentiment, influencing investment decisions and …

Opinion mining has witnessed significant advancements in well-resourced languages.
However, for low-resource languages, this landscape remains relatively unexplored. This …

Multitarget sentiment analysis extracts the subjective polarity of text from multiple targets
simultaneously in a given context. This approach is useful in finance, where opinions about …

This paper presents the FinancES 2023 shared task, organized in the IberLEF 2023
workshop, within the framework of the 39th International Conference of the Spanish Society …

Sentiment analysis in the financial domain is a challenging task that plays a crucial role in
understanding public opinion, monitoring market trends, and assessing the impact of news …

Automatic emotion recognition (AER) has become increasingly important in fields such as
health, psychology, social sciences, and marketing. Within AER, automatic speech …

Despite the fact that the Spanish language is the second most spoken language in the
world, research about AI and sentiment analysis is few compared with English language as …