Skip to content

Latest commit

 

History

History
77 lines (47 loc) · 5.49 KB

README.md

File metadata and controls

77 lines (47 loc) · 5.49 KB
Raw

p7hb-docker-mllib-twitter-sentiment

Docker Pulls Size

Dockerfiles for Twitter sentiment analysis with Spark MLlib and visualization referenced by https://github.com/P7h/Spark-MLlib-Twitter-Sentiment-Analysis.

The image is available directly from https://index.docker.io.

Introduction

Docker image to analyse and visualize sentiment of tweets in real-time on a world map using Apache Spark ecosystem (Spark MLlib + Spark Streaming + Spark SQL).

For more details on this project and the code associated with it, please check the blogpost.
Also, README of https://github.com/P7h/Spark-MLlib-Twitter-Sentiment-Analysis has details on how to execute this project.

Note:

I had actually written this as a blog post on my personal website, but unfortunately I managed to corrupt my Octopress GitHub repo. 😧 😩 😡 So, till the time I salvage it, I thought of publishing it as GitHub wiki for the time being.

Twitter sentiment visualization Demo

Demo of visualization

Demo of visualization

Screenshots of visualization

Overview

Overview

Positive sentiment

Positive sentiment

Neutral sentiment

Neutral sentiment

Negative sentiment

Negative sentiment

Get this Docker image

There are 2 ways of getting this image:

  1. Build the image using Dockerfile
  2. Pull the image from Docker Hub

Build Docker image

Copy the Dockerfile and the other 2 supporting files: bootstrap.sh and exec_spark_jobs.sh to a folder on your local machine and then invoke the following command.

docker build -t p7hb/p7hb-docker-mllib-twitter-sentiment:1.6.2 .

This will build the docker image on your machine.

Please wait as this might take a bit of time depending on your internet speed.

Pull the image from Docker Hub

With this approach, we are pulling the image hosted on Docker Hub instead of building it ourselves.

docker pull p7hb/p7hb-docker-mllib-twitter-sentiment:1.6.2

Executing the prototype

Please check the README of the Spark-MLlib-Twitter-Sentiment-Analysis project for detailed instructions on executing this prototype.

Helpful links

  1. I am currently hosting this web app on Amazon EC2: http://54.84.252.184:9999/. I will bring it down sometime next week. Update on 19th September, 2016: After running the live app on EC2 for almost a month, I have shutdown this instance today.
  2. Docker Image on Docker Hub Registry: https://hub.docker.com/r/p7hb/p7hb-docker-mllib-twitter-sentiment/.
  3. GitHub URL for source code of the project: https://github.com/P7h/Spark-MLlib-Twitter-Sentiment-Analysis.
  4. GitHub URL for blog post on code walkthru: https://github.com/P7h/Spark-MLlib-Twitter-Sentiment-Analysis/wiki/.
  5. Dockerfile GitHub repo: https://github.com/P7h/p7hb-docker-mllib-twitter-sentiment.

Problems? Questions? Contributions? Contributions welcome

If you find any issues or would like to discuss further, please ping me on my Twitter handle @P7h or drop me an email. Appreciate your help. Thanks!

License License

Copyright © 2016 Prashanth Babu.
Licensed under the Apache License, Version 2.0.