So, why bag-of-words, what is wrong with the simple and easy text? The model is only concerned with whether known words occur in the document, not where in the document. ![]() It is called a “bag” of words because any information about the order or structure of words in the document is discarded. We just keep track of word counts and disregard the grammatical details and the word order. This approach is a simple and flexible way of extracting features from documents.Ī bag of words is a representation of text that describes the occurrence of words within a document. In technical terms, we can say that it is a method of feature extraction with text data. What is a Bag of Words in NLP?īag of words is a Natural Language Processing technique of text modelling. Natural language processing helps us to do so. In order to understand this huge amount of data and make insights from them, we need to make them usable. Using Natural Language Processing, we make use of the text data available across the internet to generate insights for the business.
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