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np.array(bow[target==cat].sum(axis=0)) return np.transpose((p+1) / (p.sum() + bow.shape[1])) Now, with this matrix, we can define if a comment is toxic or not! To do so, we just calculate the product of all words likelihood, with m the number of words contained in the comment: Formula to get the