Uncommon Sense: Batman v. Superman
Finally, we can settle these age-old questions once and for all:
Behold! TweetSense instantly reports on how twitter users feel about what they tweet. For example, if someone says:
This tweet would bring superman's sentiment rating down.
However, let's assume a tweet says:
Then Batman's user sentiment would go up.
After analyzing hundreds of tweets of the user's choosing from the last seven days, a wonderful graph shows up with the overall user sentiment rating.
Behind The Scenes
We're proudest of our semantic tweet analysis (the engine that reads each tweet and is able to determine how the user felt) and equally so about locally-weighted linear regression used to predict future trends, all written from scratch.
Our code parses through hundreds of recent user tweets upon request (obtained through Twitter's API) and analyzes each tweet's sentiment regarding a specified term. It then displays wonderful line graphs thanks to Google's Chart API.
It's amazing how natural the resulting extrapolations turn out! They reflect true changes of heart.
See for yourself how our predictions of, for example, "MHacks", compare to reality! Hint: they're pretty accurate.
We mined our source data from Twitter's awesome API.
The Team (Waffles@1)
Peter Mauldin (click to collapse)
Worked on the Back-end and Front-end.
Helped put together data from the API's and scripts on the webpages to make it all work
contact at: email@example.com
Worked on the scripting, design, and graphical output
Wrote the algorithm to parse and graph the back end data. Also built the HTML and responsivity
contact at: firstname.lastname@example.org
Math genius. Wrote Gaussian distribution weighted average methods from scratch to predict future sentiment
Converted data into semantic information which could be understood by humans.
contact at: email@example.com
The first line of contact with the Twitter and Bloomberg API's
Parsed seemingly arbitrary data into usable data on the backend
contact at: firstname.lastname@example.org
Why "Waffles at 1"?
On the first night of MHacks V, students were scheduled to have a waffle break at 1 am
In a dramatic turn of events, the waffle machine blew a fuse, and thus no waffles could be consumed by the zealous Hackers. The team then decided that the waffles were so awesome, that they wrecked the waffle machine. We used that energy to produce the awesomeness in front of you. And will continue to carry on the legacy of the late ... waffles@1