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What is the purpose of tokenization?
To translate text into another language.
To summarize large documents.
To break down text into smaller units for analysis.
Which of the following techniques is used to determine the importance of words in a specific document within the context of a larger collection of documents?
Naïve Bayes
TF-IDF (Term Frequency-Inverse Document Frequency)
Word2Vec
Which of the following best describes the role of embedding vectors in natural language processing (NLP)?
They duplicate tokens in multiple languages.
They define stopwords that should be ignored.
They capture semantic token relationships in multiple dimensions.
You must answer all questions before checking your work.
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