ncsa / standalone-smm-smile

Dockerized version of SMM server

SMILE (Social Media Intelligence and Learning Environment)

For users or potential users:

• Watch the Overview video
• Contact us the SRTI lab if you have any question: [e-mail]
• SMILE Playground coming soon...

For developers:

Structure of SMILE:

Prerequisite:

• You have Nodejs installed: https://nodejs.org/en/download

  • In the www/ directory of SMILE, install required libraries npm install
  • In the www/graphql/ directory of SMILE, install required libraries npm install

• Place the main_config.json file under the path www/ and place the graphql_config.json file under path www/graphql/

  • These two files contain credentials to acess AWS, Box, Dropbox, Google drive, Reddit, and Twitter
  • The content of main_config.json looks like this:

  { "box":{ "client_id": "#####################", "client_secret":"#####################" }, "dropbox":{ "client_id": "#####################", "client_secret":"#####################" }, "google":{ "client_id":"#####################", "client_secret":"#####################" }, "reddit":{ "client_id":"#####################", "client_secret":"#####################" }, "twitter":{ "client_id":"#####################", "client_secret":"#####################" }, "aws":{ "access_key":"#####################", "access_key_secret":"#####################" } }

  • The content of graphql_config.json looks like this:

  { "twitter":{ "client_id":"#####################", "client_secret":"#####################" } }

  • You have to set up AWS access to AWS lambda, Batch, S3 bucket, Elasticsearch, and EC2.

Configuration:

• Clone this repository to your local disk, git clone https://[e-mail]/bitbucket/scm/smm/smm-smile.git SMILE.
• Install concurently library npm install concurently -g
  • Concurrent library is used to run SMILE sever and GraphQL server at the same time. To avoid confusion, just isntall concurrently library globally with a -g.
• Test the analytics server cd SMILE/www && npm test
• Test the GraphQl data server cd SMILE/www/graphql && npm test
• RUN concurrently cd SMILE/www && npm start. The analytic tools run on http://localhost:8001, and the GraphQL data server runs on http://localhost:5050/graphql

Computation:

• The business logic is handled by this repository, while the computation part is deployed on AWS Lambda, and AWS Batch for long running process. You can find the deployed python code in smm-analytics repository
  • lambda_classification_predict/ , lambda_classification_split/, and lambda_classification_train/ contains the text classification algorithms which are deployed on AWS Lambda. For larger datasets, we run the same algorithms on AWS Batch, which you can find the corresponding scripts in batch/batch_classification_predict.py, batch/batch_classification_split.py, and batch/batch_classification_train.py
  • lambda_preprocessing/ and batch/batch_preprocessing.py contains the text pre-processing scripts
  • lambda_sentiment_analysis/ and batch/batch_sentiment_analysis.py contains the sentiment analysis scripts
  • lambda_network_analysis/, and batch/batch_network_analysis.py contains the network analysis scripts
  • batch/RedditComment.py expands the top level Reddit submission and comments given a collection of threads
  • lambda_histogram/ plot a histogram given the search results of social media

Using Google Analytics 4:

• The tag for Google Analytics 4 is already included in the code.
• Set the environment variable GA_KEY and provide the value of your Google Analytics 4 key.

Please contact the SRTI lab to request assistance on setting up the SMILE server.