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Analyze how travellers in February 2015 expressed their feelings on Twitter

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MElHuseyni/Twitter-US-Airline-Sentiment-Analysis

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Twitter-US-Airline-Sentiment-Analysis

This data was originally posted by Crowdflower last February and includes tweets about 6 major US airlines. Additionally, Crowdflower had their workers extract the sentiment from the tweet as well as what the passenger was dissapointed about if the tweet was negative.

I use Deep Neural Nets to Classify the Sentiment of the user into Postive , Negtive and Neutral

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Analyze how travellers in February 2015 expressed their feelings on Twitter

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