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NLP 201: Text Prepocessing 2 - Vectorization

This blog breaks down essential methods for converting text into numerical representations for machine learning. It also covers One-Hot Encoding (OHE), Bag of Words (BoW), and TF-IDF, explaining their principles, use cases, and limitations. With clear examples and insights, it serves as a practical guide for building effective NLP models.