Every year Universities around the globe receive thousands of applications. Our Sentimen analyzer optimizes this process to a great extent and helps to find suitable candidates for admission
How it works
We use NLTK in python and Meta mind API to perform sentiment analysis. We perform word to word analysis (local) as well as gloabal analysis on data.
Challenges I ran into
Using web app to take user input and have data visualization
Accomplishments that I'm proud of
We were able to summarize the letter of recommendations into key few lines which can save lot of time for reviewer.
What I learned
learnt how to use web apps
What's next for Sentiment hacker
Improvement with better and larger data sets , better visualization