ML Text Classification Project

This project applies machine learning models to classify text data.

Data

• annotated_corpus_for_train.csv: Training dataset
• corpus_for_test.csv: Test dataset

Process

1. Data preprocessing
2. Model selection and training
3. Evaluation on test set
4. Prediction file generation

Setup

1. Clone repository
2. Install dependencies: pip install -r requirements.txt
3. Run Jupyter notebook: jupyter notebook Assignment5-text-analysis.ipynb

Results

Classification results are saved in classification_results.csv.

License

This project is under the MIT License.

Author

👤 Contact

GitHub: @dreekz

LinkedIn: yarinakiva