Course Evaluation and Improvement: Enhancing Higher Education Through Sentiment Analysis in Course Rating Systems

Author(s)	Saee Majlekar, Hasnain Sayyed, Vedant Patil, Ayush Tripathi
Country	India
Abstract	The "Suggesting-Best-Courses-Using-Sentiment-Analysis" project revolutionizes online course evaluation by employing advanced sentiment analysis techniques. By scraping comments and feedback from various sources, it provides users with accurate, unbiased course ratings based on genuine student experiences. This innovative platform empowers students to make informed decisions, enhancing their educational journey with insightful course comparisons and comprehensive evaluations.
Keywords	Sentiment Analysis, Online Courses, Machine Learning
Field	Engineering
Published In	Volume 5, Issue 6, November-December 2023
Published On	2023-11-09
Cite This	Course Evaluation and Improvement: Enhancing Higher Education Through Sentiment Analysis in Course Rating Systems - Saee Majlekar, Hasnain Sayyed, Vedant Patil, Ayush Tripathi - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8343
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.8343
Short DOI	https://doi.org/gs38kr

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