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Web scraping and machine learning for sentiment analysis over the history of a term's usage on twitter.

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kckang1103/ScrapeGoats

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Scrape Goats

Scrape Goats is a simple iOS application integrating web scraping with Google's Natural Language & Cloud Vision APIs for sentiment analysis over the history of a term's usage on twitter.

The Scrape Goats project was created for the Purdue BoilerMake 2022 hackathon competition. It was developed over a period of 36 hours by Kichul Kang (Github: kckang1103), John Werner (Github: jwerner51), and Thomas Wiegand (Github: twiegan).


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  • Frontend - React Native
  • Backend - Django
  • Authentication - Firebase

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Web scraping and machine learning for sentiment analysis over the history of a term's usage on twitter.

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