Bag of Words
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The bag-of-words model is a simplifying representation used in natural language processing and information retrieval (IR). In this model, a text (such as a sentence or a document) is represented as an unordered collection of words, disregarding grammar and even word order. Recently, the bag-of-words model has also been used for computer vision.The bag-of-words model is commonly used in methods of document classification, where the (frequency of) occurrence of each word is used as a Feature (machine learning)|feature for training a Statistical classification|classifier. An early reference to bag of words in a linguistic context can be found in Zellig Harris's 1954 article on Distributional Structure.
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演化趋势
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Bag of Words文章数量变化趋势

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