Sentiment analysis with convolutional neural network: an investigation of the motivational factor of the creative learning methodology

• Max Filipe da Costa Braga UFPA
• Wilson Rogério Soares e Silva IFPA
• Orlando Shigueo Ohashi Junior UFRA
• Renato Hidaka Torres UFPA

DOI: https://doi.org/10.5753/semish.2021.15822

Abstract

This research investigates the use of the Scratch platform in the development and monitoring of creative immersion tests with students. It is believed that interactive proposals such as Scratch provide the student's motiva-tion and contribute to the development of skills and competencies. To verify this hypothesis, we developed three experiments and analyzed the partici-pants emotions with a convolutional neural network. The results show that happiness and neutrality emotions were predominant. Observing these feelings allows us to conclude that Scratch contributes to the motivational factor of the learning.

Keywords: Creative Learning, Convolutional Neural Networks, Scratch, Sentiment Analysis

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