Researchers have used supervised learning models trained on lexical word ngram features, synsets, emoticons, topics, and lexicon frameworks to determine which emotions are expressed on Twitter Roberts et al., 2012;Qadir and Riloff, 2013;.
sentiment classification in social media has been extensively studied (Pang et al., 2002;Pang and Lee, 2008;Pak and Paroubek, 2010;Hassan Saif, Miriam Fernandez and Alani, 2013;Nakov et al., 2013;Zhu et al., 2014).