ndhanvina/simple-sentiment-analysis-ml

AI Summary: Set up a Python project for sentiment analysis using scikit-learn. This involves creating a project directory structure, a `requirements.txt` file listing necessary packages (pandas, scikit-learn, numpy, matplotlib, seaborn, nltk), and updating the README.md with project details and setup instructions, including virtual environment setup.

AI Summary: Implement a comprehensive unit testing suite for a sentiment analysis project using pytest, covering data preprocessing, model training, and prediction functionalities. Aim for at least 80% test coverage, including positive and negative test cases, and consider CI/CD integration.