https://github.com/merveenoyan/ml-poetry

Poetry classification with RNN and decision trees.
https://github.com/merveenoyan/ml-poetry

Last synced: 17 days ago
JSON representation

Poetry classification with RNN and decision trees.

• Host: GitHub
• URL: https://github.com/merveenoyan/ml-poetry
• Owner: merveenoyan
• Created: 2020-05-28T16:07:43.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T10:02:30.000Z (almost 2 years ago)
• Last Synced: 2024-10-20T05:33:18.607Z (26 days ago)
• Language: Jupyter Notebook
• Size: 371 KB
• Stars: 31
• Watchers: 2
• Forks: 2
• Open Issues: 8
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        


# Poetry Classification Notebook

![Poetry Classification Header](https://images-wixmp-ed30a86b8c4ca887773594c2.wixmp.com/f/05df8cc2-4413-4a7c-93c7-dbf7991b18a7/ddxz5h4-a844ba43-c2fe-4cf5-a54b-7b0b106a0edc.png?token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJzdWIiOiJ1cm46YXBwOiIsImlzcyI6InVybjphcHA6Iiwib2JqIjpbW3sicGF0aCI6IlwvZlwvMDVkZjhjYzItNDQxMy00YTdjLTkzYzctZGJmNzk5MWIxOGE3XC9kZHh6NWg0LWE4NDRiYTQzLWMyZmUtNGNmNS1hNTRiLTdiMGIxMDZhMGVkYy5wbmcifV1dLCJhdWQiOlsidXJuOnNlcnZpY2U6ZmlsZS5kb3dubG9hZCJdfQ.-VnjZYfWlvW4BkECBqug2QCGpK7hwvPccE8GESLzxtU)

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)

![Decision Trees vs NN](https://images-wixmp-ed30a86b8c4ca887773594c2.wixmp.com/f/05df8cc2-4413-4a7c-93c7-dbf7991b18a7/ddxyf2e-20784a4b-c60d-45c6-8fe1-4a281665d670.png/v1/fill/w_1280,h_487,q_80,strp/vs_by_markdownimgmn_ddxyf2e-fullview.jpg?token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJzdWIiOiJ1cm46YXBwOiIsImlzcyI6InVybjphcHA6Iiwib2JqIjpbW3siaGVpZ2h0IjoiPD00ODciLCJwYXRoIjoiXC9mXC8wNWRmOGNjMi00NDEzLTRhN2MtOTNjNy1kYmY3OTkxYjE4YTdcL2RkeHlmMmUtMjA3ODRhNGItYzYwZC00NWM2LThmZTEtNGEyODE2NjVkNjcwLnBuZyIsIndpZHRoIjoiPD0xMjgwIn1dXSwiYXVkIjpbInVybjpzZXJ2aWNlOmltYWdlLm9wZXJhdGlvbnMiXX0.3K_JTqac7uTpP6dZCKybJxUrQitNVPk3x9p-Zqeyz_Y)

# Files

- *all.csv* including data taken from [kaggle](https://www.kaggle.com/ishnoor/poetry-analysis-with-machine-learning?select=all.csv)

- *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](https://github.com/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 🤓

> Written with [StackEdit](https://stackedit.io/).