Feature Selection Using Sampling with Replacement, Covering Arrays and Rule-Induction Techniques to Aid Polarity Detection in Twitter Sentiment Analysis

Jorge Villegas, Carlos Cobos, Martha Mendoza, Enrique Herrera-Viedma. Feature Selection Using Sampling with Replacement, Covering Arrays and Rule-Induction Techniques to Aid Polarity Detection in Twitter Sentiment Analysis. In Guillermo Ricardo Simari, Eduardo Fermé, Flabio Gutiérrez Segura, José Antonio Rodríguez Melquiades, editors, Advances in Artificial Intelligence - IBERAMIA 2018 - 16th Ibero-American Conference on AI, Trujillo, Peru, November 13-16, 2018, Proceedings. Volume 11238 of Lecture Notes in Computer Science, pages 467-480, Springer, 2018. [doi]

Abstract

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