Definition
A simplified text representation that counts word occurrences while ignoring grammar and word order.
Detailed Explanation
The Bag-of-Words model creates a vocabulary from all unique words in a document collection and represents each document as a vector of word frequencies. While simple, it loses word order information and context but remains useful for many applications.
Use Cases
Document classification, spam detection, topic modeling, sentiment analysis