In this segment, you’ll learn to use Decision Trees as the classifier for the NER task. the features extraction process is exactly the same as that used in the Naive Bayes classifier.
Additional Reading
- You can also experiment with the hyperparameters of the decision tree classifier. To read more on that refer to the NLTK documentation here.