International Journal of Advanced Research in Computer and Communication Engineering

Abstract: In the modern digital era, social media platforms have become a dominant medium for communication, self-expression, and information exchange. This study explores user behavior, awareness, and perceptions related to sentiment analysis and privacy concerns in social media usage. A structured online survey was conducted to collect responses from participants across different backgrounds, focusing on their level of engagement, familiarity with sentiment analysis, and trust in AI-based emotional interpretation. The analysis reveals that while users are highly active on social platforms and aware of sentiment analysis to some extent, concerns regarding data privacy and ethical implications remain prevalent. Participants expressed mixed views on the accuracy and reliability of AI in detecting emotions, emphasizing the need for transparency and secure data handling. The findings further highlight how sentiment analysis can enhance AI-driven add-on course recommendation systems, enabling more personalized learning based on student sentiments and preferences. The study concludes that balancing innovation with ethical responsibility is essential for the sustainable use of sentiment analysis in both digital and educational environments.

Keywords: Artificial Intelligence, Course Recommendation System, Data Privacy, Sentiment Analysis, Social Media Usage, User Awareness

Downloads: | DOI: 10.17148/IJARCCE.2025.141062