“Abstract: Text might contain or evoke multiple emotions with varying intensities. Traditional approaches typically cast the problem of detecting multiple emotions from text as multi-label classification. This talk will first present a novel ranking-based approach to generate a ranked list of relevant emotions where top-ranked emotions are more intensely associated with text compared to lower ranked emotions. Furthermore, since emotions might be evoked by different hidden topics, it is important to unveil and incorporate such topical information to understand how the emotions are evoked. A novel neural network approach with topical info…”

Price: Free

Link: https://www.meetup.com/Natural-Language-Processing-Copenhagen-Meetup/events/255019127/