Multi Language Sentiment Analysis

📌 Overview

This is a Multi Language Sentiment Analysis App built with Streamlit and Hugging Face Transformers. It allows users to analyze the sentiment (Positive, Negative) of any given text using state-of-the-art NLP models.

🚀 Features

• Sentiment History to track past analyses in a session.
• Graphical Representation of sentiment confidence using a progress bar.
• Multi-Language Support via Google Translate.
• File Upload Support for bulk sentiment analysis.
• Download Results as a CSV file.
• Emoji-based Sentiment Display for better UX.

🛠️ Installation

1. Clone the repository:

   git clone https://github.com/hasanulmukit/sentiment-analysis-app.git
   cd sentiment-analysis-app

2. Install dependencies:

   pip install -r requirements.txt

3. Run the app:

   streamlit run app.py

📊 Usage

• Enter Text: Type or paste a sentence in the text area.
• Analyze Sentiment: Click the "Analyze" button to get sentiment results.
• View History: Check previous sentiment analyses.
• Upload Files: Upload .txt or .csv files for batch analysis.
• Download Results: Save the analysis as a CSV file.

🏗️ Technologies Used

• Python 🐍
• Streamlit 🎨 (for UI)
• Transformers 🤗 (Hugging Face NLP Models)
• SpeechRecognition 🎙️ (for voice input)
• GoogleTrans 🌍 (for multi-language support)
• Matplotlib & Pandas 📊 (for visualization & data processing)

🎯 Future Improvements

• Improve accuracy with fine-tuned models.
• Add support for more advanced NLP techniques.
• Deploy the app using Streamlit Cloud or Hugging Face Spaces.

💡 Contribution

Feel free to fork this repo, improve it, and submit a pull request! 🚀

📜 License

This project is licensed under the MIT License.

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