GENERATING MIND MAP FROM AN ARTICLE USING MACHINE LEARNING Maulana Firdaus Nurrokhim, Lala Septem Riza, Rasim
Universitas Pendidikan Indonesia
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. Mind map is generated from articles or other teaching materials. Testing is done by comparing the mind map of automatic generation with mind map made by experts. The results showed 52.5% accuracy.
Keywords: Sequence Teaching Material, Mind Map, CoreNLP, Information Retrieval Approach
