Deep Learning Systems
Bag of Words is a text representation technique used in natural language processing where a text document is represented as an unordered collection of words, disregarding grammar and word order but keeping track of the frequency of each word. This model simplifies text data for various tasks, allowing for easier manipulation and analysis, especially in sentiment analysis and text classification.
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