CountVectorizer in NLP #shorts #nlp #vector #python

CountVectorizer is a popular technique in Natural Language Processing (NLP) used to convert a collection of text documents into a matrix of token (word) counts. It is a part of the scikit-learn library in Python and is commonly used as a preprocessing step for various NLP tasks, such as text classification, sentiment analysis, and topic modeling.

#shorts #nlp #nlptraining #textprocessing #python #pythonexercises