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

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.