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Bag of Words

In bag-of-words model, a text is represented as a multiset of its words, disregarding grammer and even word order but keeping multiplicity (keeping the number of occurrences of each word). The model is commonly used in methods of document classification where the frequencies of words are used as a feature. The model is also used in natural language processing (NLP), information retrieval (IR) and computer vision.

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