Online Course Review System Using Aspect Based Sentimental Analysis and Opinion Mining Using Deep Learning

Abstract

Within the fast-paced field of distance learning, students depend mainly on user reviews to assess the efficiency of online courses. Yet, these are unstructured, massive, and subjective in nature, posing difficulties in analyzing them manually. This project suggests an intelligent system called "Online Course Review System Using Aspect-Based Sentiment Analysis and Opinion Mining Using Deep Learning.". The system extracts course-related user comments on Reddit and YouTube in an automatic fashion, and conducts deep learning-based aspect-based sentiment analysis (ABSA) to obtain sentiments toward specific features like cost, quality of content, difficulty level, and time spent. Through pretrained models in the PyABSA framework, the system recognizes crucial aspects and marks sentiment as positive, neutral, or negative. The outcomes are given in terms of aspect-wise ratings and summary in an intuitive web interface. This solution improves decision-making by potential students through providing accurate, attribute-level information about course experiences.