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Sentiment Analysis in Twitter: Impact of Morphological Characteristics

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Distributed Computing and Artificial Intelligence, 17th International Conference (DCAI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1237))

Abstract

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.

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Author information

Authors and Affiliations

  1. Universidad Peruana de Ciencias Aplicadas, Lima, Peru

    Jesús Silva

  2. Universidad de la Costa, Barranquilla, Colombia

    Juan Manuel Cera & Jesús Vargas

  3. Universidad Tecnológica Centroamericana (UNITEC), San Pedro Sula, Honduras

    Omar Bonerge Pineda Lezama

Authors
  1. Jesús Silva
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  2. Juan Manuel Cera
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  3. Jesús Vargas
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  4. Omar Bonerge Pineda Lezama
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Corresponding author

Correspondence to Jesús Silva .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Yucheng Dong

  2. Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain

    Enrique Herrera-Viedma

  3. Dept. of System Design, Osaka Institute of Technology, Osaka, Japan

    Kenji Matsui

  4. Hiroshima University, Osaka, Japan

    Shigeru Omatsu

  5. GRASIA Research Group, Facultad de Informática, Universidad Complutense de Madrid, Madrid, Spain

    Alfonso González Briones

  6. IoT European Digital Innovation Hub, Bioinformatics Intelligent Systems and Educational Technology Research Group, Department of Computer Science, Faculty of Science, University of Salamanca, Salamanca, Spain

    Sara Rodríguez González

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Silva, J., Cera, J.M., Vargas, J., Lezama, O.B.P. (2021). Sentiment Analysis in Twitter: Impact of Morphological Characteristics. In: Dong, Y., Herrera-Viedma, E., Matsui, K., Omatsu, S., González Briones, A., Rodríguez González, S. (eds) Distributed Computing and Artificial Intelligence, 17th International Conference. DCAI 2020. Advances in Intelligent Systems and Computing, vol 1237. Springer, Cham. https://doi.org/10.1007/978-3-030-53036-5_29

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