What is the difference between stemming and lemmatization?
Stemming chops off word endings crudely, while lemmatization uses vocabulary and grammar rules to find the dictionary root.
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Vector representations of words where words with similar meanings are positioned close together in high-dimensional space.
An NLP task that identifies and classifies names of people, organizations, dates, and locations within text.
Models classify text segments as positive, negative, or neutral based on word associations or semantic embeddings.
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