The two main approaches to text classification are ________ and ________.
A) knowledge engineering; machine learning
B) categorization; clustering
C) association; trend analysis
D) knowledge extraction; association

Question

Quizplus · Accepted Answer

The two main approaches to text classification are knowledge engineering and machine learning. Knowledge engineering involves creating a set of rules or decision trees based on expert knowledge in the domain, while machine learning involves training a classifier on a labeled dataset and allowing the algorithm to identify patterns and make predictions based on those patterns. Categorization and clustering are both types of machine learning algorithms, but not the only approaches to text classification. Association and trend analysis are not commonly used in text classification. Knowledge extraction is a similar concept to knowledge engineering but not a widely used term in text classification.

The Two Main Approaches to Text Classification Are ________ and ________

The Two Main Approaches to Text Classification Are and