The Bag of Words model is a simplified representation used in natural language processing where a text is represented as an unordered collection of words, disregarding grammar and word order but keeping multiplicity. It is primarily used for text classification and information retrieval tasks by converting text data into numerical vectors that machine learning algorithms can process.