Overview of the EVALITA 2018 aspect-based sentiment analysis task (ABSITA)

ABSITA is the Aspect-based Sentiment Analysis task at EVALITA 2018 (Caselli et al., 2018). This task aimed to foster research in the field of aspect-based sentiment analysis within the Italian language: the goal is to identify the aspects of given target entities and the sentiment expressed for each aspect. Two subtasks are defined, namely Aspect Category Detection (ACD) and Aspect Category Polarity (ACP). In total, 20 runs were submitted by 7 teams comprising 11 total individual participants. The best system achieved a micro F1-score of 0.810 for ACD and 0.767 for ACP.