Twitter Sentiment Analysis – Hadoop

Conducted a sentiment analysis of Twitter data for AT&T by leveraging the storage and processing capabilities of an Amazon EC2 Hadoop cluster (AWS)

Analyzed the results of the sentiment analysis and present the inferences/findings in the form of interactive Tableau dashboards with an aim to impact the client’s business positively

Used – Hadoop Framework, Mapreduce , HDFS, Hive, Tableau, MS Access 2013

Collaborators : Rohan Ashok Patil, Valay Raval, Ishan Dindorkar, Jigar Mistry, Nikhl Kaushik, Prachi Sahoo

 

 

 

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