Vidyavathi, B M and B R, Rashmi and Guddappanavar, Rashmi and Heremath, Sahana and Priya R S, Sandeep Shashank (2025) Bright Scope: College Experience Insights. International Journal of Innovative Science and Research Technology, 10 (5): 25may1205. pp. 1681-1687. ISSN 2456-2165
![IJISRT25MAY1205.pdf [thumbnail of IJISRT25MAY1205.pdf]](https://eprint.ijisrt.org/style/images/fileicons/text.png)
IJISRT25MAY1205.pdf - Published Version
Download (556kB)
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.
Item Type: | Article |
---|---|
Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Law, Arts and Social Sciences > School of Management |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 10 Jun 2025 08:53 |
Last Modified: | 10 Jun 2025 08:54 |
URI: | https://eprint.ijisrt.org/id/eprint/1117 |