Deep Learning-Based Classification of Comments and Reviews for Sustainable Development Goals (SDGs) with Web Application Implementation

  • Authors

    • Dhanya D Department of Artificial Intelligence and Data Science, Mar Ephraem College of Engineering and Technology, Kanyakumari, Tamil Nadu 629171, India
    • S. Kalaivany Department of Information Technology, Mailam Engineering College, Villupuram, Tamil Nadu 604304, India
    • M. Suresh Anand Department of Computing Technologies, School of Computing, SRM Institute of Science & Technology, Kattankulathur, Tamil Nadu 603203, India
    • Rakhi Department of Computer Science and Engineering, Bharati Vidyapeeth's College of Engineering, Paschim Vihar, New Delhi 110063, India
    • G. Jaya Raju Department of Computer Science and Engineering, Aditya University, Surampalem, Andhra Pradesh 533437, India
    • Anurag Vijay Agrawal Department of Electronics and Communication Engineering, Bhagwant Institute of Technology, Bhagwantpuram, Muzaffarnagar, Uttar Pradesh 251315, India
    • N. Sivakumar Department of Artificial Intelligence and Data Science, Panimalar Engineering College, Chennai, Tamil Nadu 600123, India
    • Ravindra Namdeorao Jogekar Department of Computer Science and Engineering, Jhulelal Institute of Technology, Nagpur, Maharashtra 441111, India
    https://doi.org/10.14419/9g302r53

    Received date: April 18, 2025

    Accepted date: June 18, 2025

    Published date: June 26, 2025

  • Learning; Sustainable Development Goals; Web Application; Classification of Comments

  • Abstract

    This work aims to develop an intelligent system that leverages natural language processing (NLP) and deep learning to analyze and interpret textual data in the context Sustainable Development Goals (SDGs). The core objective is to identify semantic relationships between input text and specific SDGs, thereby enabling automated classification and supporting sustainable decision-making. The work focuses on the application of data augmentation techniques to enhance training datasets, refinement of existing classification models through hyperparameter tuning, and the proposal of a novel classification model to improve accuracy and reliability. Additionally, the work includes the development of a user-friendly web application with extended functionalities, allowing users to input text manually or upload text files to determine the most relevant SDG. This integrated approach aims to bridge the gap between unstructured textual data and structured sustainability frameworks, providing an innovative tool for researchers, policymakers, and organizations working toward global sustainability goals.

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  • How to Cite

    D, D., Kalaivany , S. ., Anand , M. S. ., Rakhi, Raju , G. J. ., Agrawal, A. V. ., Sivakumar , N. ., & Jogekar, R. N. . (2025). Deep Learning-Based Classification of Comments and Reviews for Sustainable Development Goals (SDGs) with Web Application Implementation. International Journal of Basic and Applied Sciences, 14(2), 401-409. https://doi.org/10.14419/9g302r53