Sentiment Analysis of Computer Science Students’ Attitudes Toward Programming Languages: An in-Depth Study

This study investigates the sentiments of computer science students toward programming languages, focusing on Python, Java, and C, to explore factors influencing their learning experiences, motivation, and career aspirations. Data from forums, surveys, and social media platforms were analysed using sentiment analysis and thematic qualitative analysis. The findings reveal that students view programming as both challenging and rewarding. Python is valued for its role in data science, Java for enterprise solutions and Android development, and C for its foundational importance in programming. Students reported frustrations with syntax complexities, usability, and industry relevance despite these strengths. Despite these strengths, students reported frustrations with syntax complexities, usability, and industry relevance. The research highlights the need for adaptive teaching strategies that connect programming concepts to practical applications, foster resilience, and offer diverse learning opportunities. By bridging the gap between industrial expectations and academic preparation, these ideas hope to improve programming education and bring it into line with changing professional requirements.