The paper “A Graph-based Model of Contextual Information in Sentiment Analysis over Twitter” by Giuseppe Castellucci, Danilo Croce and Roberto Basili has been accepted at the 2nd Italian Conference on Computational Linguistics!
Abstract: Analyzing the sentiment expressed by short messages available in Social Media is challenging as the information when considering an instance is scarce. A fundamental role is played by Contextual information that is available when interpreting a message. In this paper, a Graph-based method is applied: a graph is built containing the contextual information needed to model complex interactions between messages. A Label Propagation algorithm is adopted to spread polarity information from known polarized nodes to the others.