Deep Learning for Text Classification — Developed CNN, RNN, LSTM, and GRU models in PyTorch to classify text and analyze book review sentiments. Explored embeddings, sequential modeling, and comparative architecture behavior to power intelligent recommendation features for NLP-driven systems.