Early efforts in building them automatically also yielded lexicons of moderate sizes such as the SentiWordNet (Esuli and Sebastiani, 2006;Baccianella et al., 2010).
recent results have shown that automatically extracted large-scale lexicons (e.g., up to a million words and phrases) offer important performance advantages, as confirmed at shared tasks on Sentiment Analysis on Twitter at SemEval 2013-2016 (Nakov et al., 2013;Rosenthal et al., 2014;Rosenthal et al., 2015;Nakov et al., 2016a), where over 40 teams participated four years in a row.