Authors : Dr. B M Vidyavathi; Rashmi B R; Rashmi Guddappanavar; Sahana Heremath; Sandeep Shashank Priya R S

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/3etum76c

DOI : https://doi.org/10.38124/ijisrt/25may1205

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Student feedback plays a key role in enhancing academic standards, campus infrastructure, and the overall learning environment. Traditional feedback methods are often manual, time-consuming, and susceptible to bias, making it difficult to derive meaningful insights. Bright Scope: College Experience Insights addresses this issue by applying machine learning-based sentiment analysis to categorize responses as positive, neutral, or negative. Leveraging Natural Language Processing (NLP), the system detects sentiment patterns and presentsthem through dynamic charts and detailed summaries. This empowers prospective students to evaluate institutions better and helps administrators identify areas for improvement. By fostering informed decision- making and improving communication between students and institutions, the platform contributes to a more responsive and transparent academic ecosystem.

Keywords : Sentiment Analysis; Machine Learning; Natural Language Processing; Student Feedback; Educational Insights; Dashboards.

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