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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