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.

翻译：基于方面的情感分析（ABSA）是一项任务，其目标是对句子中所有被称为方面的实体进行个体情感极性分类。该任务由两个子任务组成：方面术语提取（ATE），识别句子中的所有方面术语；以及情感倾向提取（SOE），给定一个句子及其方面术语，任务是确定每个方面术语的情感极性（正面、负面或中性）。本文介绍了我们参与 IberLEF 2022 中葡萄牙语基于方面的情感分析（ABSAPT 2022）的情况。我们提交了性能最佳的系统，在两个子任务上均取得了新的最优结果。