Multilingual Sentiment Analysis Web App – Real-Time NLP Powered Tool
Multilingual Sentiment Analysis
Welcome to the Multilingual Sentiment Analysis Web App, a professional, paid web application that enables you to detect sentiments across 20+ languages with just a single click. Whether you’re a developer, researcher, or business analyst, this project offers a powerful tool to analyze textual emotions using state-of-the-art NLP models.
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📋 Project Information
| Project Name | Multilingual Sentiment Analyzer |
|---|---|
| Language/s Used | Python, HTML, CSS, JavaScript |
| Python Version (Recommended) | 3.7+ |
| Framework | Flask |
| Type | Web Application |
| Developer | UPDATEGADH |
🚀 Available Features
- 🌍 Multilingual Support – Analyze sentiments in over 20+ global languages.
- ⚡ Real-Time Prediction – Get instant sentiment classification: Positive, Negative, or Neutral.
- 🤖 AI-Powered – Utilizes Hugging Face transformer models for robust performance.
- 📱 Responsive Design – Optimized for both desktop and mobile screens.
- 🔍 Auto Language Detection – Automatically identifies the language of your input.
- 💬 Interactive UI – Clean interface with real-time result display.
- 🧠 No Database Required – Simple architecture using Flask and live model predictions.
🧾 Technologies Used
- Python – Backend logic
- Flask – Web framework
- Hugging Face Transformers – For Natural Language Processing
- HTML/CSS/JavaScript – Front-end design and interactivity
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