- Download the entire content of this repository onto your local machine.
- Open terminal and CD the folder path that you downloaded the repository content into.
- Type 'jupyter notebook' and it should open a tab in browser with the file contents.
- Ensure Python 3.8 is running.
- Report Directory 5.1 'word_features.ipynb' contains Dataset Preparation & Analysis, and Words as Features models 5.2 'performance.docx' contains detailed performance metrics for the words as features models 5.3 'embedding_features.ipynb' contains Dataset Preparation & Analysis, and Embeddings as Features models 5.4 'analysis.docx' contains report analysis on the dataset and model perfomances
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