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Definition

Bag of Words

Bag of Words (BoW) is a simplified representation model used in natural language processing and information retrieval. In this model, a text (such as a sentence or a document) is represented as the bag (multiset) of its words, disregarding grammar and word order but keeping multiplicity.

Frequently Asked Questions

What is the main disadvantage of the Bag of Words model?

It completely ignores word order and context, meaning sentences like "not bad, good" and "not good, bad" have the exact same representation.

How does Bag of Words convert text to numbers?

By creating a vocabulary dictionary of all unique words and representing each document as a vector containing the frequency counts of those words.

Quick Facts

  • CategoryNatural Language Processing
  • Key ApplicationDocument classification, spam filtering, and basic text representation.

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