An Automatic and Innovative Approach for Converting Pedagogical Text Documents to Visual Learning Object

Abstract

In this paper, we present a novel idea of converting pedagogical text documents to visual learning objects by automatically extracting nouns and semantic keywords from the text documents, and representing these keywords as a word cloud. A word cloud contains words that are weighted based on frequency, time, appearance, etc., depending on the concept they are used for. Each word in the word cloud would correspond to a visual representation of that word. A visual representation may contain drawings, figures, images, etc. that explains the given concept. The extracted keywords are used to query the Internet to find the corresponding visual representation of a given word. The idea is to bring text documents to life by creating a visual representation of the important concepts from the text documents. This paper is a work in progress. © Springer International Publishing Switzerland 2014.