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It utilizes natural language processing techniques to classify reviews as positive, negative, or neutral and provides an interactive visualization interface.\n\n---\n\n## 🚀 Getting Started  \n\n### Open Using Daytona  \n\n1. **Install Daytona**: Follow the [Daytona installation guide](https://www.daytona.io/docs/installation/installation/).  \n2. **Create the Workspace**:  \n   ```bash  \n   daytona create \u003cSAMPLE_REPO_URL\u003e  \n   ```  \n3. **Install Dependencies**:  \n   ```bash  \n   pip install -r requirements.txt  \n   ```  \n4. **Start the Application**:  \n   ```bash  \n   streamlit run src/app.py  \n   ```  \n\n---\n\n## ✨ Features  \n\n- 🧠 Sentiment analysis of Spotify reviews using natural language processing.  \n- 📊 Interactive and user-friendly visualization dashboard powered by Streamlit.  \n- 🛠️ Standardized development environment using Daytona.  \n- 🔄 Comprehensive data pipeline for preprocessing, analysis, and visualization.  \n- 📈 Extracts insights into user feedback trends from Spotify reviews.  \n- 🦆 Efficient query handling and data storage powered by DuckDB through MotherDuck integration for seamless performance.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsreejamaity9%2Fspotify-sentiment-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsreejamaity9%2Fspotify-sentiment-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsreejamaity9%2Fspotify-sentiment-analysis/lists"}