Mastering Bag of Words and Count Vectorization
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Mastering Bag of Words and Count Vectorization
Bag of Words (BoW) and Count Vectorizer are fundamental techniques in Natural Language Processing (NLP) that transform textual data into numerical representations. BoW represents a document as an unordered set of words, while Count Vectorizer assigns numerical values based on the frequency of words in a document. This process disregards word ...
951 viewsJan 31, 2024
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