Named Entity Recognition

The Naive Bayes Classifier is a probabilistic machine learning algorithm that applies Bayes' theorem with the assumption that features are conditionally independent given the class label. Despite its simplicity, it performs efficiently and effectively in tasks like text classification and spam detection, often yielding high accuracy. Its assumptions facilitate straightforward computation of posterior probabilities, making it suitable for large-scale problems.