🚀 news-sentiment-analysis-dashboard

📌 Overview

A web application that analyzes news sentiment and visualizes the data through a dashboard, including sentiment distribution and word clouds.

✨ Key Features & Architecture

• High-Performance Codebase: Built using TypeScript / Python and modern engineering principles.
• Modular & Scalable Design: Structured directory tree for seamless development and deployment.

🛠️ Tech Stack & Dependencies

• Core Language: TypeScript / Python
• Libraries & Tools: TypeScript / Python
• Deployment Infrastructure: Vercel Edge / Cloud Services

📁 Architecture & File Layout

news-sentiment-analysis-dashboard/
├── .github
├── .github/ISSUE_TEMPLATE
├── .github/ISSUE_TEMPLATE/bug_report.md
├── .github/ISSUE_TEMPLATE/feature_request.md
├── .github/PULL_REQUEST_TEMPLATE.md
├── .github/workflows
├── .github/workflows/ci.yml
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── LICENSE
├── README.md

🚀 Quickstart & Installation

Prerequisites

• Git
• Modern Web Browser / Runtime

Setup Instructions

1. Clone the repository:

   git clone https://github.com/Tarunjit45/news-sentiment-analysis-dashboard.git
   cd news-sentiment-analysis-dashboard

📜 Author & License

Architected & Developed by Tarunjit Biswas.
Distributed under the MIT License.