Impersonal college research is extremely difficult and ratings from websites are objective. Niche.com and USNews do not provide accurate analysis on the aspects of a college, making it difficult to truly analyze them. In addition, it is way too difficult to sift through 1000s of comments in order to get real information on a college.
What it does
after scraping numerous websites, I have created a filter in order to assist people search for topics within comments sections. Then by using sentiment analysis the overall positivity rating is ranked.
How I built it
nodejs, mongoDB, jquery, js, html, css
Challenges I ran into
It could have been grander, hackathon was only 12 hours not 24
Accomplishments that I'm proud of
making the college search process easier
What I learned
What's next for Rational Ratings (Concept)
improving the scraper and incorporating it into the program