Generating Mind Map from Indonesian Text Using Natural Language Processing Tools

Abstract

Abstract People usually make mind map by drawing each object and its relation with other object from scratch. This research aims to make the process easier by generating mind map from text (here is Indonesian text) and providing mind map editor to manipulate the object and relation set. To build such tool, we employ available Indonesian NLP (Natural Language Processing) tools. There are three components needed: semantic net generator, mind map visualization and interaction handler. In the semantic net generator, the resulted first order logic (FOL) resulted by the semantic analyzer is changed into semantic net which is represented by list of objects and list of relations. The resulted semantic net is then visualized by using combination method of radial and layering drawing. The interaction is available for editing the object and the relation. The tool was then evaluated by 2 experiment set: testing the semantic net generation and testing the resulted visualization. The semantic net generation was evaluated by using the valid input text, while the visualization was evaluated by user acceptance test. As the result, although the semantic net generation (from FOL) is a correct one, but the whole semantic analyzer for Indonesian text still has a low accuracy especially for complex sentence. As for the user acceptance test, the automatic generation still gives unimportant object which should be corrected by the interaction.