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Related Questions
- How do word embeddings represent semantic meaning in a numerical format?
- Can you describe the difference between one-hot encoding and word embeddings in natural language processing?
- What are the key challenges in training word embeddings on a large corpus of text?
- How do word embeddings contribute to improving sentiment analysis models?
- What are the common techniques used to evaluate the quality of word embeddings?
- Can you explain the concept of distributed representations in word embeddings and their implications?
- In what ways do word embeddings help in capturing nuances of language, such as idioms and sarcasm?
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