We use the Multinomial Naïve Bayes model, a probabilistic algorithm ideal for text classification, to fit our training vectors to the values of the target variable. The Multinomial Naïve Bayes ...

This challenge is especially critical when dealing with unstructured data (e.g. free text ... images and videos (using OCR algorithms). Flow’s use of LLMs in data classification isn’t ...

General naive ... using two spaces rather than the more common four spaces. The program imports the NumPy library which contains numeric array functionality. The MultinomialNB module has the key code ...

They are probabilistic classifiers, therefore will calculate the probability of each category using Bayes theorem ... building a multinomial Naive Bayes classifier to solve a typical NLP problem: text ...