Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection

9Spectral Pattern Learning Approach‐based Student Sentiment Analysis Using Dense‐net Multi Perception Neural Network in E‐learning Environment

Laishram Kirtibas Singh¹ and R. Renuga Devi²

¹Department of Computer Science, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India

²Department of Computer Science and Applications (MCA), SRM Institute of Science and Technology, Ramapuram, Chennai, India

9.1 Introduction

E‐learning has emerged as one of the most effective training methods. In particular, collaborative learning is considered a great way to support and understand students and their learning problems. Using the e‐learning platform and its collaborative tools, students can interact with other students and share questions on specific topics.

Learning plays an important role. Lifelong learning aims to enhance people’s sense of achievement throughout life and on a personal and social level. In a learning community, time sustaining is an essential need for survival and sustaining change. By integrating into the process of creating new technological tools, an impressive tool for lifelong learning is provided: e‐learning. For nearly 20 years, the phenomenon of “e‐learning” has pervaded the distance learning landscape. The Internet and its services allow you to easily integrate user support and monitoring programs into the educational and technical aspects of dynamic learning.

Sentiment analysis in particular, also known as sentiment classification ...