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What is the fundamental difference between word embeddings and document embeddings in NLP?
Word embeddings capture fine-grained semantic relationships, while document embeddings represent entire documents.
Word embeddings are suitable for text classification, while document embeddings are best for sentiment analysis.
Word embeddings are primarily used for machine translation, while document embeddings are used in topic modeling.
Word embeddings focus on punctuation and grammar, whereas document embeddings disregard these aspects.
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Qtr No. 213, New Town Yehlanka Indore 454775
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