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Data Science - Classification AI and Human Text

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Classification AI vs Human text

This Data Science project aims to classify text as either AI-generated or human-written. The dataset utilized in this project is sourced from Kaggle, comprising over 400,000 samples of both AI and human-generated text.

Libraries used

The project is implemented in Python 3.

  • Matplotlib
  • NLTK
  • NumPy
  • Optuna
  • Pandas
  • Gensim
  • Scikit-learn
  • WordCloud

To install the required libraries, run the following command:

pip install -r requirements.txt

Authors

This project was carried out as part of a university project with @tomasnp and @PierreDerathe.

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Data Science - Classification AI and Human Text

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