In Sections 3 to 5, we describe the three main stages of our approach respectively.
their method could have a relatively large variance in the document sentiment classification performance because of the domain mismatch (e.g., F 1 = 0.874 for the "Tangled" tweets and F 1 = 0.647 for the "Obama" tweets), whereas our approach would perform quite consistently over different domains.