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December 13, 2018
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August 25, 2017

Detection of Suspicious Twitter Accounts

As part of the Stanford in Paris study abroad program and in collaboration with the Institut Supérieur d'électronique de Paris, my team member and I created a machine learning model to detect terrorist supporters on Twitter. We achieved an accuracy of 92%.

  • leveraged the Google translate API to convert French and Arabic tweets to English
  • cleaned and organized the data by converting it to CSVs and tokenizing and stemming it
  • used Word2Vec and sentiment analysis

partnered with Eliza Deberry, mentorship from Patricia Conde-Cespedes

Check out our published research:

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