AI Sentiment Analyzer

An NLP-powered sentiment analysis tool with real-time emotion detection, keyword extraction, confidence scoring, and visual analytics — all running client-side in the browser.

🌐 Live Demo

👉 tasfinmahmud.github.io/ai-sentiment-analyzer

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✨ Features

• Sentiment Detection — Classifies text as Positive, Negative, or Neutral with confidence scores
• Emotion Analysis — Detects emotions like Joy, Anger, Sadness, Fear, and Surprise
• Keyword Extraction — Automatically identifies key terms and phrases
• Visual Dashboard — Interactive gauges, charts, and sentiment distribution graphs
• Batch Analysis — Analyze multiple texts and compare results
• Real-Time Processing — Instant analysis with no server required
• Dark Theme UI — Sleek, modern interface with gradient accents

🛠️ Tech Stack

Technology	Usage
JavaScript (ES6+)	NLP algorithms, text processing
Chart.js	Sentiment visualization, gauges
CSS3	Dark theme, responsive design
HTML5	Semantic structure

🧪 How It Works

The analyzer uses a combination of:

• Lexicon-based scoring with a curated sentiment dictionary
• N-gram analysis for context-aware sentiment detection
• TF-IDF inspired keyword extraction
• Emotion mapping with weighted emotional indicators

🚀 Getting Started

# Clone the repository
git clone https://github.com/TasfinMahmud/ai-sentiment-analyzer.git

# Open in browser
open index.html

📁 Project Structure

ai-sentiment-analyzer/
├── index.html      # Main interface
├── style.css       # Dark theme styling
├── script.js       # NLP engine & chart logic
└── README.md       # Documentation

License

MIT — Tasfin Mahmud