vectorization
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Summary #
Vectorizer: A vectorizer in NLP refers to a process that converts text documents or corpora into numerical feature vectors. This process involves representing each document as a vector in a high-dimensional space, where each dimension corresponds to a specific term in the vocabulary. There are various types of vectorizers, such as Count Vectorizers and TF-IDF Vectorizers.