Companies and public figures can use this python program to gage the public opinion of them online. This gives companies another tool to gage how people feel, as online reviews are often skewed.
Inspiration: We wanted to work with the Twitter API and quickly found an idea we were excited about.
What we used: Uses NLTK library to assess tweets and judge whether they are positive or negative on a scale from -1 to 1, with 1 being the most positive.
How we built it: We built this using python, along with many libraries. We also used the Twitter API.
Problems: Our knowledge on GUIs hindered us. We also had to change libraries for the Sentiment analysis as the previous one didn't work with what we were trying to accomplish.
Accomplishments: Finishing the project as this is both of our first hackathons.
What we learned: How to work with the twitter API, a bit about Natural Language Processing and sentiment analysis, and tkinter
What's next: We definitely need to work on the UI and possibly be able to integrate the program into websites
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