Generating mind map from an article using machine learning

Abstract

Sequence teaching materials is very important in learning because it will improve the effectiveness of learning. But not all teachers can make the sequences in detail and accurate. The purpose of this research generates sequences of teaching materials automatically by using the concept map. The approach used is the Information Retrieval Approach and the use of the CoreNLP library. Concept map is generated from articles or other teaching materials. Testing is done by comparing the concept map of automatic generation with concept map made by experts. The results showed 52.5% accuracy.