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Twitter Data Sentiment Analysis Based on Amazon documentation

Twitter Data Sentiment Analysis Based on Amazon documentation. B. Ramamurthy http:// docs.aws.amazon.com/gettingstarted/latest/emr/getting-started-emr-sentiment-tutorial.html. Goals. Collect live data from twitter and analyze it using Elastic Map Reduce

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Twitter Data Sentiment Analysis Based on Amazon documentation

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  1. Twitter Data Sentiment AnalysisBased on Amazon documentation B. Ramamurthy http://docs.aws.amazon.com/gettingstarted/latest/emr/getting-started-emr-sentiment-tutorial.html

  2. Goals • Collect live data from twitter and analyze it using Elastic Map Reduce • For this we need twitter developer account and credentials • Collect data using Cloud Formation template provided by amazon • Store the data in S3 • Do whatever analysis you want to do. • We will do wordcount.

  3. Steps Setup twitter developed account Setup CloudFormation with a data collection template Access the server setup above and collect data: as much data about any word of interest to you. Transfer data to s3 Perform MR (mapreduce) analytics

  4. Warning Make sure You have logged off from the server connected to CloudFormation the ClouDformation Stack is deleted after you collect data Twitter access and consumer keys are kept really safe

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