The Bag of Words Model is a fundamental technique in natural language processing that represents text data by counting the occurrence of each word, disregarding grammar and word order. This model is widely used for text classification and information retrieval, providing a simple yet effective way to convert textual data into numerical form for machine learning algorithms.