Sentiment analysis in twitter: Impact of morphological characteristics

Silva J.; Cera J.M.; Vargas J.; Lezama O.B.P. · Advances in Intelligent Systems and Computing (2021) · DOI: 10.1007/978-3-030-53036-5_29

Resumen

This paper presents a series of experiments aimed at the sentiment analysis on texts posted in Twitter. In particular, several morphological characteristics are studied for the representation of texts in order to determine those that provide the best performance when detecting the emotional charge contained in the Tweets. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

Instituciones: Universidad Peruana de Ciencias Aplicadas