Text Similarity with fastText word embeddings

A practical tutorial demonstrating how to implement text similarity using fastText word embeddings and cosine similarity. The guide walks through data preprocessing, loading pre-trained fastText models, and computing similarity scores using the Amazon Food Reviews dataset. The implementation shows how to compare text similarity across different product categories like coffee, tea, chocolate, and pet food.