Text classification is a fundamental task in natural language processing (NLP), used widely for spam detection, sentiment analysis, and categorization of textual data. In this Python script, we delve into building a text classification pipeline using a Naive Bayes classifier with TF-IDF (Term Frequency-Inverse Document Frequency) features.
☆18Jul 12, 2024Updated last year
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