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Sentiment Analysis for Vietnamese – Based Hybrid Deep Learning Models

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Hybrid Artificial Intelligent Systems (HAIS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14001))

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Abstract

Sentiment analysis of public opinion expressed in social networks has been developed into various applications, especially in English. Hybrid approaches are potential models for reducing sentiment errors on increasingly complex training data. This paper aims to test some hybrid deep learning models’ reliability in some domains’ Vietnamese language. Our research questions are to determine whether it is possible to produce hybrid models that outperform the Vietnamese language. Hybrid deep sentiment-analysis learning models are built and tested on reviews and feedback of the Vietnamese language. The hybrid models outperformed the accuracy of Vietnamese sentiment analysis on Vietnamese datasets. It contributes to the growing body of research on Vietnamese NLP, providing insights and directions for future studies in this area.

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Notes

  1. 1.

    https://shopee.vn/.

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Author information

Authors and Affiliations

  1. Science and Technology Application for Sustainable Development (STASD) Research Group, Ho Chi Minh City University of Transport (UTH), Ho Chi Minh, 70000, Vietnam

    Cach N. Dang & Kien V. Nguyen

  2. Data Mining (MIDA) Research Group, University of Salamanca, 37007, Salamanca, Spain

    María N. Moreno-García

  3. Biotechnology, Intelligent Systems and Educational Technology (BISITE) Research Group, University of Salamanca, 37007, Salamanca, Spain

    Fernando De la Prieta

  4. Ho Chi Minh University of Banking, Ho Chi Minh, 70000, Vietnam

    Kien V. Nguyen

  5. Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam

    Vuong M. Ngo

Authors
  1. Cach N. Dang
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  2. María N. Moreno-García
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  3. Fernando De la Prieta
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  4. Kien V. Nguyen
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  5. Vuong M. Ngo
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Corresponding author

Correspondence to Cach N. Dang .

Editor information

Editors and Affiliations

  1. University of Deusto, Bilbao, Spain

    Pablo García Bringas

  2. University of Leon, León, Spain

    Hilde Pérez García

  3. University of La Rioja, Logroño, La Rioja, Spain

    Francisco Javier Martínez de Pisón

  4. Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  5. Pablo de Olavide University, Seville, Spain

    Alicia Troncoso Lora

  6. University of Burgos, Burgos, Spain

    Álvaro Herrero

  7. University of A Coruña, Ferrol - Coruña, Spain

    José Luis Calvo Rolle

  8. University of A Coruña, Ferrol - Coruña, Spain

    Héctor Quintián

  9. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Dang, C.N., Moreno-García, M.N., De la Prieta, F., Nguyen, K.V., Ngo, V.M. (2023). Sentiment Analysis for Vietnamese – Based Hybrid Deep Learning Models. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2023. Lecture Notes in Computer Science(), vol 14001. Springer, Cham. https://doi.org/10.1007/978-3-031-40725-3_25

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  • DOI: https://doi.org/10.1007/978-3-031-40725-3_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-40724-6

  • Online ISBN: 978-3-031-40725-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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