Cleansing [iOS Fast]
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"The raw dataset has undergone standard text cleansing: all characters were converted to lowercase, and punctuation, numbers, and stop words were removed to reduce noise. We also applied tokenization and lemmatization to ensure the model focuses on the core semantic root of each word, leading to more accurate analysis and faster processing." cleansing
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