Twitter Tweet Tracker

Twitter Tweet Tracker takes an account as input and pulls data from the Twitter API so we can make different analysis including the 5 factor model, 6 Discrete emotion theorem, and more.

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Developers: Julian Berrio, Peyton Marinelli, Ahsan Rohan Event: Shell Hacks 2019 Date started: 9/20/2019 Date submitted: 9/22/2019

DOWNLOAD FOR WINDOWS IS Release.zip

Project name: Twitter Tweet Tracker Twitter Tweet Tracker takes in tweet and follower data from individuals and generates a five-personality model, six emotion model, subjectivity bar, frequency table, and various tweet charts. This application is designed to identify at risk or unstable twitter users. Using word analysis and key context clues, we can create a model of a twitter user who might be experiencing distress and other abnormal emotional spikes. Because of the rapid nature of twitter, it can be hard for individuals to keep track of their friends when they need them the most. Thus, this application can help users in keeping up with their friends over larger periods of time. API's used: Tweetinvi - Used to gather data on tweets and followers from Twitter Restful

Studies used: Predicting Personality with Social Media (Jennifer Golbeck, Cristina Robles, Karen Turner), May 2011 - Used significance data of personality traits to assign parameters and weights - Used personality data to formulate analysis algorithms Big Five Personality Traits (John A. Johnson), 2017 - Used data on emotions to associate word usage with emotions

Additional resources: abhy/sentiment dataset - Used to generate polar chart information from emotion data emotions dataset - Used to classify emotion data from the words used in tweets

Built With

  • .netframework
  • c#
  • restfull
  • tweetinvi
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