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 \section{Introduction}
 This project presents the design and implementation of a web-based analytics engine for the exploration and analysis of online discussion data. Built using \textbf{Flask and Pandas}, and supplemented with \textbf{Natural Language Processing} (NLP) techniques, the system provides an API for extracting structural, temporal, linguistic, and emotional insights from social media posts. A React-based frontend delivers interactive visualizations and user controls, the backend architecture implements analytical pipeline for the data, including data parsing, manipulation and analysis.