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Airline Sentiment

First Place Overall Award and First Place Bank of America Challenge Award in 2021 RamHacks hackathon

Created by: Tara Ram Mohan, Meredith Seaberg, Chris Sampson, and Greg Johnson

Purpose: Machine learning project that dynamically analyzed Twitter data to determine customer satisfaction and sentiment of leading airline companies.

Resources

DevPost Hackathon Submission: https://devpost.com/software/airline-customer-satisfaction

Walkthrough: https://www.youtube.com/watch?v=29RUQKzdpp0

Google Data Studio Dashboard: https://datastudio.google.com/reporting/b37aec61-3c0a-4a32-b3da-44db17809a74

Data Source Output: https://docs.google.com/spreadsheets/d/1FQPoQbSiR1FHKJc8Ri-aMaq1a10aKojf7eowqE6MYG4/edit#gid=1362808158

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Machine learning project that dynamically analyzes Twitter data to determine customer satisfaction and sentiment of leading airline companies

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