The aim of the task is binary sentiment classification, where each review document is classified into positive or negative sentiment.
Additionally, we compare with the start-of-the-art baseline LAPS (Ahuja et al., 2020), which relies on external task-specific cross-lingual parallel data (Ahuja et al., 2020), i.e., productto-product and query-to-query correspondences among all 5 languages.