Ramification of Sentiments on Robot-Based Smart Agriculture: An Analysis Using Real-Time Tweets

Abstract

Social users and their sentiments on robot-based agriculture is an advanced area of research as demands for robots are increasing vividly in smart agriculture. Based on available studies, which usually depends on tweets, it helps the users to realize opinion on various aspects. Therefore, in this research work, a framework is designed to study users’ sentiments, including their contextual behavior in terms of sentiment variations. The results show that the users have a positive attitude toward smart agriculture based on robots. Still, at the same time, they have a biased opinion also for various robot terms. Significant tweets based on the adoption of robots in agriculture are extracted in real-time using various event-based terms such as security, adoption rate, unemployment, and safety. Thus, this work will benefit the various business agencies, manufacturers, and technology-based organizations in understanding users’ attitudes toward adopting robots in smart agriculture.