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You are working on a Generative A1 project that involves analyzing text dat a. You've noticed that certain words are appearing much more frequently than others, potentially skewing your results. Which of the following techniques would be MOST effective in addressing this issue?
Correct Answer: A
Removing stop words eliminates common words like 'the,' 'a,' 'is,' which often dominate text data. TF-IDF then weights words based on their frequency in a document relative to their frequency across all documents, reducing the impact of common words and highlighting important terms. Options B and C are helpful but not sufficient. Option D can actually worsen the issue. Option E addresses semantic meaning, not frequency imbalance.