A Large-Scale Dataset for Multi-Class Financial News Classification in Brazilian Portuguese
The development of Financial Natural Language Processing (NLP) systems for Brazilian Portuguese is hindered by the scarcity of domain-specific datasets. To address this, we present a large-scale corpus of approximately 160,000 Brazilian Portuguese financial news articles collected from web sources.
By Leomax Bandeira, Gabriel Aguiar, Dalton C\'ezane Gomes Valadares, Luiz Pereira, Helder Fernando de Ara\'ujo Oliveira, Gustavo Xavier, Andson M. BalieiroarXiv - cs.CL (NLP)
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Originally published by arXiv - cs.CL (NLP) on Oct 16, 2026.
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