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Twitter Sentiment Analysis and Trends

Code for Assignment 2 of Cloud Computing and Big Data.

TwitterStream - Python

  • Uses Twitter Stream API to get Tweets.
  • Pushes tweets into an SQS Queue (The 'producer' for SQS)

SQSMessageWorker - Java

  • Reads Tweets from the SQS Queue (The 'consumer' for SQS)
  • Uses a Thread Pool & Executor to get the sentiment of each tweet using the Alchemy API.
  • Adds the enriched data into DynamoDB
  • Notifies the Server of Real-Time Tweets using SNS.

Application Server - Node.js

  • The Server queries Dynamo for stored tweets and emits them to the client.
  • It handles new tweets from the queue sent to it by SNS.
  • It also handles making a REST call to the Twitter Trends API to show trending topics in a particular location, as selected by the client.
  • Deployed on AWS Elastic Beanstalk

Front End

  • Developed in JavaScript and HTML, uses the Google Maps API to render the heat map and plot the tweets by their location.

Developed by:

  • Gaurang Sadekar - UNI: gss2147
  • Viral Shah - UNI: vrs2119

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