Enhancing Sentiment Analysis in Text of Social Media Texts Using Hybrid Deep Learning Model and Natural Language Processing

Obed Matías-Cristóbal, Jesús Padilla-Caballero, Rosa Gonzales-Rivera, Rosa Benavente-Ayquipa, Segundo Pérez-Saavedra, Frans Cardenas-Palomino

    Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

    Resumen

    Sentiment analysis (SA) is a mechanized strategy for finding and understanding the feelings depicted in text. Over the most recent decade, SA has altogether expanded in ubiquity in the Natural Language Processing (NLP) people group. One emotion that has a negative effect on people's daily life is depression. Every year, more people around the world report having long-lasting feelings. Finding persons with depression as early as possible is one of the most difficult difficulties. Researchers are analyzing text content posted on social media using Natural Language Processing (NLP) techniques, which helps to develop methods for Depression detection. This study examines various earlier investigations that employed learning strategies to recognize depression. The current approaches have issues with better model representation that make it difficult to accurately identify depression from literature. Fast message in the ongoing undertaking to address an answer for these issues, Fast text Convolution Neural Network with Long Momentary Memory (FCL), an original hybrid deep learning brain network plan with improved message portrayals, is made. Real-world datasets that were used in the literature were used to implement the current study. The suggested method achieves higher accuracy in detecting depression than the state-of-the-art.

    Idioma originalInglés
    Título de la publicación alojadaProceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023
    EditorialInstitute of Electrical and Electronics Engineers Inc.
    Páginas1776-1780
    Número de páginas5
    ISBN (versión digital)9798350304480
    DOI
    EstadoPublicada - 2023
    Evento6th International Conference on Contemporary Computing and Informatics, IC3I 2023 - Gautam Buddha Nagar, India
    Duración: 14 set. 202316 set. 2023

    Serie de la publicación

    NombreProceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023

    Conferencia

    Conferencia6th International Conference on Contemporary Computing and Informatics, IC3I 2023
    País/TerritorioIndia
    CiudadGautam Buddha Nagar
    Período14/09/2316/09/23

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