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Published in:
2018 | OriginalPaper | Chapter
Tracking Happiness of Different US Cities from Tweets
Authors : Bryan Pauken, Mudit Pradyumn, Nasseh Tabrizi
Published in: Big Data – BigData 2018
Publisher: Springer International Publishing
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Abstract
Research into the possibilities of Twitter data has grown greatly over the past few years. Studies have shown its potential in identifying and managing disasters, predicting flu trends, predicting the success of movies at the box office, and analyzing people’s emotions. In this study, tweets from Twitter were collected and analyzed from nine different cities across America. East Carolina University’s Hadoop cluster was used to run our application and the Stanford CoreNLP was then used to give the sentiment of each statement in the tweets. Although our research reviled small distinction between nine individual cities in the percentage of positive, negative, and neutral statements, but however, there were significant differences in overall statements, where up 47.88% of all the statements were neutral, positive statements only 14.95%, while 37.16% of the statements were negative.