What it does
Analyzes the tweets describing restaurant reviews based on regular expressions of adjectives. The program computes the average percentage of each individual restaurant review.
How we built it
Using python and Twitter API we pulled data from Twitter related to specific keywords, and exported a list of tweets to a text file. We used java to read in the text file and analyze the data for specific adjectives.
Challenges we ran into
Incorporating the python and java code in unity.
Algorithm to compare tweets with key adjectives/words and providing an accurate rating system.
Accomplishments that we're proud of
Being able to complete our first hackathon with a working prototype.
What we learned
How to use two different languages to build a prototype. How to implement the twitter API in our code.
What's next for Twitter Restaurant Rating Analysis
Maximize time complexity, improve our regular expression algorithm for a more accurate rating.