11 novembre 2016
https://creativecommons.org/licenses/by-nc-nd/4.0/ , info:eu-repo/semantics/openAccess
Giuseppe Castellucci et al., « A Graph-based Model of Contextual Information in Sentiment Analysis over Twitter », Accademia University Press, ID : 10.4000/books.aaccademia.1332
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.