Big Data Analytics and Visualization
The bag-of-words model is a simple and commonly used method for representing text data in natural language processing. It disregards the order of words and focuses solely on the frequency of each word in a document, treating the document as a collection (or 'bag') of individual words. This approach allows for easy feature extraction and creation, making it useful for tasks like text classification, sentiment analysis, and information retrieval.
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