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The analysis includes sentiment evaluation, topic categorization, and prompt technique examination.\n\n## ✨ Analysis Components\n\n- Conversation pattern analysis\n- Language usage metrics\n- Sentiment evaluation\n- Topic classification\n- User feedback assessment\n- Prompt technique analysis\n\n## 🚀 Quick Start\n\n### View the analysis\n\nTo view the analysis, simple open notebook [chatgpt_analysis.ipynb](chatgpt_analysis.ipynb).\n\n### Development Setup\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/Fybex/chatgpt-conversations-analysis.git\n```\n\n2. Create a new virtual environment in the root directory:\n```bash\npython -m venv venv\n```\n\n3. Activate the virtual environment:\n```bash\nsource venv/bin/activate\n```\n\n4. Environment setup\n```bash\ncp .env.sample .env\n# Set your OpenAI API key to .env\n```\n\n## 📊 Dataset\n\nThis analysis utilizes [ChatGPT Conversations Dataset](https://www.kaggle.com/datasets/noahpersaud/89k-chatgpt-conversations/data) from Kaggle containing approximately 89,000 conversations.\n\n## 🛠️ Technical Requirements\n\n- Python 3.12+\n- OpenAI API key (for specific cells)\n- Required packages are listed in [requirements.txt](requirements.txt) and will be installed in one of the first cells of the notebook.\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffybex%2Fchatgpt-conversations-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffybex%2Fchatgpt-conversations-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffybex%2Fchatgpt-conversations-analysis/lists"}