Emerging Sentiment Language Model for Emotion Detection
Anastasia Giachanou, Francisco Rangel, Fábio Crestani, Paolo Rosso · Accademia University Press eBooks · 2017
In this paper we present an approach for joy, anger and neutral emotions detection based on an emerging sentiment language model. We propose an approach that can detect specific emotions from positive, neutral and negative sentiments and which favors the tweets that occur at recent sentiment spikes. Our results suggest that our approach can effectively detect joy, neutral and anger emotions and that it performs better compared to the baselines.