This repository accompanies an arXiv paper surveying text classification algorithms, covering both classical methods like Naive Bayes, SVM, and Random Forests alongside deep learning approaches including CNNs, RNNs, and attention-based models. The content includes implementations and explanations of feature extraction techniques, tokenization methods, and various classification architectures.