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Analysing Big Data with Twitter Sentiments using Spark Streaming

In this big data spark project, we will do Twitter sentiment analysis using spark streaming on the incoming streaming data.
4.84.8

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What will you learn

  • • Introduction to Spark MLib
  • • Spark Streaming
  • • Training a text classification model using Spark MLib
  • • Classifying real-time twitter streams using Spark MLib
  • • Integration of Spark streaming and MLib
  • • Displaying live stream results on a desktop dashboard

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.

Prerequisites

Project Description

In Dezyre's Hadoop hands-on training course, we perform two different projects that require us to stream data from twitter in real time. Many of this project is a production scenario will then involve analyzing the project in a batch mode and representing to end users.
But what if the decision that needs the streamed data is time sensitive? This means that we must stream that data and analyze it in motion. After analysis, the result must be presented as the streaming is taking place.
An example of a use of such system is to analyze public response to any event in real time like a political speech, a sports game, an economic news and much more. People with the access to quality real-time data can then position themselves for profit in such circumstance.

Instructors

 
Michael

Big Data & Enterprise Software Engineer

I am passionate about software development, databases, data analysis and the android platform. My native language is java but no one has stopped me so far from learning and using angular and node.js. Data and data analysis is thrilling and so are my experiences with SQL on Oracle, Microsoft SQL Server, Postgres and MyS see more...