Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble
  Approaches
Juliana Resplande Santanna Gomes Eduardo Augusto Santos Garcia Adalberto Ferreira Barbosa Junior Ruan Chaves Rodrigues Diogo Fernandes Costa Silva Dyonnatan Ferreira Maia Nádia Félix Felipe da Silva Arlindo Rodrigues Galvão Filho Anderson da Silva Soares
Aspect-based Sentiment Analysis (ABSA) is a task whose objective is to
classify the individual sentiment polarity of all entities, called aspects, in
a sentence. The task is composed of two subtasks: Aspect Term Extraction (ATE),
identify all aspect terms in a sentence; and Sentiment Orientation Extraction
(SOE), given a sentence and its aspect terms, the task is to determine the
sentiment polarity of each aspect term (positive, negative or neutral). This
article presents we present our participation in Aspect-Based Sentiment
Analysis in Portuguese (ABSAPT) 2022 at IberLEF 2022. We submitted the best
performing systems, achieving new state-of-the-art results on both subtasks.