SC4021-Information-Retrieval

AY 25/26 Sem 2, SC4021 Information Retrieval

⚽ Football Sentiment Analysis Platform

A comprehensive search engine and sentiment analysis tool for football-related discussions, built with Apache Solr, React, and Node.js.

🔍 About The Project

This project was developed for the SC4021 Information Retrieval course. It provides a powerful interface to search through thousands of indexed Reddit football posts and comments. Beyond simple keyword matching, the platform performs real-time sentiment analysis to visualize the "mood" of the football community.

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✨ Key Features

• Multi-Field Search: Query data by title, content, author, or subreddit.
• Sentiment Breakdown: Automatic classification of comments into Positive, Negative, and Neutral.
• Smart Data Parsing: Custom Python-list parser for complex nested Reddit comments.
• Interactive Visualization: Real-time sentiment charts for both global results and individual posts.
• Expandable UI: Clean layout with toggleable comment sections and smooth transitions.

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🛠 Tech Stack

• Frontend: React.js 18 (TypeScript), Tailwind CSS, Recharts.
• Backend: Node.js (Express), TypeScript, Axios.
• Search Engine: Apache Solr 9.x.
• Infrastructure: Docker & Docker Compose.

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🚀 Getting Started

Prerequisites

Make sure you have Docker Desktop installed on your system:

• Download Docker Desktop

Installation

1. Clone the repository

git clone [https://github.com/Dangomimikyu/SC4021-Information-Retrieval.git](https://github.com/Dangomimikyu/SC4021-Information-Retrieval.git)

2. Navigate to the project directory

cd SC4021-Information-Retrieval

3. Build and run the containers

docker-compose up --build