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Python 76.14% Shell 0.44% Roff 0.01% HTML 12.07% CSS 1.73% JavaScript 9.61%

missionimpossible's Introduction

Cloud-based Twitter Data Analytics System

This is a software system which harvested millions of twitters and analyzed the twitter data for sentiment detection and topic classification. It also includes a web application and web servers that provide data visualization to end-users. We developed parallel data harvesting and analytics application with virtual machines across the NeCTAR Research Cloud and implemented a cluster CouchDB to store and process huge data, using MapReduce approaches for analytics, Ansible for scripted deployment and error handling techniques.

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