https://github.com/c0debrain/real-time.ml

A real-time data analytics dashboard for tweets on the US election
https://github.com/c0debrain/real-time.ml

Last synced: 11 months ago
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A real-time data analytics dashboard for tweets on the US election

• Host: GitHub
• URL: https://github.com/c0debrain/real-time.ml
• Owner: c0debrain
• License: mit
• Created: 2019-07-31T01:09:51.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-07-28T21:46:35.000Z (over 6 years ago)
• Last Synced: 2025-01-01T17:40:39.590Z (about 1 year ago)
• Language: TypeScript
• Homepage:
• Size: 5.66 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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![](screenshot.png)

# Visualizing live election tweets

### Using Redis, Elasticsearch, ExpressJS, and Angular to search high-volume tweets in real-time.

## Getting started

`git clone https://github.com/cpgeier/real-time.ml.git`

`cd real-time.ml/site`

`npm install && ng serve --prod`

## Background

There are more than 10 tweets per second about current politics in America. Wouldn't it be cool to have a way to see these tweets in real-time? This repo is an implimentation of a high-volume data framework that consumes streaming data from Twitter and visualizes the tweets in an Angular front-end. Although this project specifically focuses on tweets about US politics, the parameters in this repo can be changed to visualize any topic on Twitter. 

## Building the repo

  - Configure environment file

    - Elasticsearch url

    - Twitter API config

  - In stream folder: `docker-compose up`

  - In api folder: `node index`

  - In site folder: `ng serve`

## Hosting online

  - Netlify to host site folder

  - Bonsai to host elasticsearch

  - Heroku to host expressjs api

  - Host Docker-machine using any cloud service https://docs.docker.com/machine/drivers/