git clone (git url)

Place the data files inside the 'data' directory.

Add your AWS access key and secret token  in the credentials file with a new line in-between located in
python_scripts/AWS_key/.

curl https://install.meteor.com/ | sh

Go to meteor_application directory and run the command:

    nohup meteor --port 8080 &

Go to meteor application directory and run the commands:

    meteor npm install --save babel-runtime

    meteor npm install --save core-js

    meteor add session

    meteor remove autopublish

Go to python_scripts directory and run the commands:

    python insert_data_into_mongodb.py (To add 1 year twitter data in mongoDB)

    python insert_crowdflower_data.py (To add crowdflower data in mongoDB)

Go to python_scripts directory and run the commands:

To run in the sandbox environment:

    python create_hit.py sandbox unlabeled (To create HITS using data which is not labeled)

    python create_hit.py sandbox crowdflower 10 (To create HITS using crowdflower data containing 10 tweets per HIT)

To run in the production environment:

    python create_hit.py production unlabeled (To create HITS using data which is not labeled)

    python create_hit.py production crowdflower 10 (To create HITS using crowdflower data containing 10 tweets per HIT)

Go to python_scripts directory and run the commands:

To get the report on the compensation:

    python get_report_based_on_labels.py

The report is generated in a csv file (/data/hit_report2.csv)

Go to python_scripts directory and run the command:

To create a qualification type, compensation HIT and assigning workers with the qualification in the sandbox environment:

    python contact_users_compensation_hit.py sandbox

To create a qualification type, compensation HIT and assigning workers with the qualification in the production environment:

    python contact_users_compensation_hit.py production


To monitor the submission of the compensation HIT and to store the HIT information into mongoDB in the sandbox environment:

    python collect_compensation_hit_results.py sandbox

    nohup python collect_compensation_hit_results.py sandbox & (To execute the script as a background process in the server)

To monitor the submission of the compensation HIT and to store the HIT information into mongoDB in the production environment:

    python collect_compensation_hit_results.py production

    nohup python collect_compensation_hit_results.py production & (To execute the script as a background process in the server)

Go to python_scripts directory and run the command:

To pay a worker with worker ID and the compensation amount in sandbox environment:

    python worker_compensation.py sandbox 'WORKERID' 'AMOUNT'

    example: worker_compensation.py sandbox A3VOSKJ5LS9WB 0.10

To pay a worker with worker ID and the compensation amount in production environment:

    python worker_compensation.py production 'WORKERID' 'AMOUNT'

    example: worker_compensation.py production A3VOSKJ5LS9WB 0.10