A Cognitive Approach For Automatic Generation Of Knowledge Map With Artificial Intelligence

摘要

The automatic generation of concept map are widely required in many fields, for precise understanding of the mandatory concepts. The concept extraction from the text automatically can help us to build any framework. This automatic generation can be achieved by the machine learning and deep learning algorithms .In this paper we have proposed an automatic system for concept map generation. Apriori, support vector machine, recurrent neural network and feed forward and back propagation algorithms are used to build our model. This automatic map generation aids the cognitive understanding of a concept, domain and a book in precise and with less time.