Sentiment analysis of big social data with Apache Hadoop
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2014-12
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University of Hawaii at Manoa
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Twitter is a microblog service and is a very popular communication mechanism. Users of Twitter express their interests, favorites, and sentiments towards various topics and issues they encountered in daily life, therefore, Twitter is an important online platform for people to express their opinions which is a key fact to influence their behaviors. Thus, sentiment analysis for Twitter data is meaningful for both individuals and organizations to make decisions. Due to the huge amount of data generated by Twitter every day, a system which can store and process big data is becoming a problem. In this study, we present a method to collect Twitter data sets, and store and analyze the data sets on Hadoop platform. The experiment results prove that the present method performs efficient.
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Twitter data sets, big data
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Theses for the degree of Master of Science (University of Hawaii at Manoa). Electrical Engineering.
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