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The Bag-of-Words (BoW) model is a fundamental technique in natural language processing (NLP) used to convert text data into numerical representations that can be used for machine learning algorithms. This model simplifies the text by focusing on the frequency of words within a document, disregarding grammar and word order. Here, we explore the concept, implementation, … Read more