What is the bag-of-words model?
A simple text representation that counts word frequencies within a document, ignoring word order and grammar.
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Vector representations of words where words with similar meanings are positioned close together in high-dimensional space.
Stemming chops off word endings crudely, while lemmatization uses vocabulary and grammar rules to find the dictionary root.
An NLP task that identifies and classifies names of people, organizations, dates, and locations within text.
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