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Predictive methodology for child behavior from children stories

Publication Type : Journal Article

Source : Journal of Engineering and Applied Sciences, 2018, 13 (Special issue 5), pp. 4597–4599

Url : https://medwelljournals.com/abstract/?doi=jeasci.2018.4597.4599

Campus : Kochi

School : School of Computing

Department : Computer Science

Year : 2018

Abstract : Story reading brightens our child’s imagination and it develops curiosity in children. It helps them to develop brain. The graphics and rhyming style could help the children to understand the language patterns. They develop a difference between the real and make believe around the world and it helps to create their own ideas. Story reading and storytelling can emotionally impact children which help them to understand the change of different emotions according to the change of situations which is expressed through words. Seven basic categories of emotion (joy, fear, anger, disgust, surprise, sadness and neutral) of child are used here. The degree of these emotions depends upon the basic character of child. In this study, we applied SVM with the help of Hadoop MapReduce frame work environment to find out the child behavior according to the stories they read or listen. As per our analysis research, our system provides an efficient mechanism to select good stories for our child as well as developing an application in smartphone which does the same.

Cite this Research Publication : Sruthy, V. V., Saju, A., Hari Narayanan, A. G., "Predictive methodology for child behavior from children stories", Journal of Engineering and Applied Sciences, 2018, 13 (Special issue 5), pp. 4597–4599

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