What is Named Entity Recognition (NER)?
An NLP task that identifies and classifies names of people, organizations, dates, and locations within text.
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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.
Models classify text segments as positive, negative, or neutral based on word associations or semantic embeddings.
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