Explain Machine learning Rule based Named Entity Recognizers.
This process is used to extract the named entities by using machine learning algorithms. Such algorithms include SVM, Naïve Bayes, KNN, Random Forest, etc. Such algorithms convert any language into particular format and then extract features such as context word, parts of speech, prefix, suffix, numbers, digits, etc. Using any machine learning approach, the following screenshot represents how the algorithms extract the entities in this following format.
