Word embeddings over bag-of-words
You are a Machine Learning Engineer who finds that the current model, which uses a bag-of-words approach, often misinterprets the meaning of a text, leading to inaccurate results. Considering this problem, you contemplate switching to word embeddings to improve the model's performance.
Which of the following best describes why word embeddings could be a better choice to help overcome the misinterpretation issue faced by the bag-of-words model?
This exercise is part of the course
Large Language Models (LLMs) Concepts
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