Poetry Classification Notebook

This notebook includes classification of poetry ages and authors with both RNNs and decision trees (because the size of data is too small).

Models and Data Used

• Data: Poetry from various poets such as William Shakespeare, different genres and different ages.
• Classification Methods: Decision Trees (sklearn) and RNNs (tf.keras)

Files

• all.csv including data taken from kaggle
• poetry-nlp-notebook.ipynb Interactive Python Notebook that includes the code itself

Libraries Used

nltk
re
keras
seaborn
matplotlib
scikit-learn
pandas
tensorflow
numpy
wordcloud
ps: All the libraries can be downloaded by pip install -r requirements.txt

Author

• Merve Noyan - merveenoyan

Further Notes

Will migrate this project to tensorflow and generate poetry, stay tuned and watch this repo if you don't want to miss 🤓

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