An Advantageous and User-Friendly Mobile Program to Benefit Students in Seeking Their Suitable Colleges through the Use of Web Scraping, Machine Learning, and Front-End Design

The abstract describes a research project on the importance of college decision-making for high school students, and how college reviews and reflections can help students make informed decisions. The project focuses on developing an online platform that allows students to view reviews and reflections of former and current college students, covering not only academics, but also other aspects of college life such as culture, geographical location, campus, and tuition. The project includes two experiments, one on the accuracy of a sentiment analysis model and one on the user experience of the software frontend design. The results show that the sentiment analysis model is able to accurately predict positive and negative sentiment comments, but struggles with neutral comments due to data imbalance. The user experience experiment identifies several areas for improvement in the app's UI design. Overall, the research project seeks to provide high school students with a valuable resource for making informed college decisions