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Kaggle has hosted an open data scientist competition in 2018 titled “2018 Kaggle ML & DS Survey Challenge.” The purpose of this challenge was to “tell a data story about a subset of the data science community represented in this survey, through a combination of both narrative text and data exploration.” More information on the competition, data, and prizes can be found on: https://www.kaggle.com/kaggle/kaggle-survey-2018

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The purpose of this code is to compute the sentiment of text information - in our case, tweets posted in 2015 regarding US airlines - and answer the research question: “What can public opinion on Twitter tell us about the US airlines in 2015?” The goal is to essentially use sentiment analysis on Twitter data to get insight into the people’s opinions on US airlines.

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