Persian News Classification

This repository contains Jupyter notebooks for analyzing and modeling a dataset of Persian news articles for classification purposes.

Notebooks

• EDA.ipynb:

  • Generates word clouds
  • Plots the distribution of labels
  • Displays dataframe information

• MachineLearning.ipynb:

  • Preprocesses the data
  • Applies TF-IDF transformation
  • Trains multiple machine learning models using grid search for hyperparameter tuning
  • Models include ensemble methods, linear models, naive Bayes, nearest neighbors, decision trees, and gradient boosting

• DeepLearning.ipynb:

  • Trains Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN)

For more details on the implementation and results, please refer to the individual notebooks.