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A study among cities in Australia by leveraging NECTAR (AWS like cloud) cloud-based solutions, AURIN and tweets

Description

A study among cities in Australia by leveraging NECTAR[1] cloud-based solutions, AURIN[2] and tweets[3]

Video Link

https://www.youtube.com/watch?v=wCEoxUTgxkg&feature=youtu.be

Website

Source Code Directory

  • ansible
    • automation scripts
  • analyser
    • scripts
      • harvester
      • topic
      • aurin
      • database
      • sentiment
    • corpora
      • nltk twitter sample
      • sent140
      • stopwords
    • sample
      • sample couchDB document
  • couchdb
    • map/reduce scripts
  • web
    • app.py

Test Embedded Analyser

go to analyzer/scripts
>python3 run_crawler.py jiyu

Sentiment Classification Evaluation

got to analyzer/scripts/sentiment
>python3 evaluation.py
this will show a demo evaluation of baseline and our classifier on nltk twitter sample

Contributors

Reference

[1]   NECTAR: https://nectar.org.au
[2]   AURIN: https://aurin.org.au
[3]   Twitter API: https://developer.twitter.com
[3]   Sent140. Twitter Sentiment Corpus by Niek Sanders http://help.sentiment140.com/for-students/
[4]   Klokan Technologies. http://boundingbox.klokantech.com.
[5]   Textblob. http://textblob.readthedocs.io/en/dev.
[6]   CouchDB. http://docs.couchdb.org/en/2.1.1.
[8]   ANSIBLE. http://docs.ansible.com.
[9]   BOTO. https://boto3.readthedocs.io/en/latest.
[10]  Docker. https://github.com/redgeoff/docker-ce-vagrant.
[11]  CouchDB in Docker Container. https://github.com/redgeoff/redgeoff-couchdb-docker.

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  • Python 62.0%
  • HTML 20.0%
  • CSS 17.3%
  • Shell 0.7%