This project aims to analyse discussions dynamics in open-source communities. We look for correlations between sentiment in comments in GitHub pull requests & issues: we analyse whether the pull request was closed/merged and if the emotions in the comments affected it, gender correlations and else.
Test data processed successfully. The speed is slow, but that is how IBM NLU works - large requests should be left to for overnight processing. We will show a test-piece in presentation.
Tutorial is found here: https://cloud.ibm.com/docs/natural-language-understanding?topic=natural-language-understanding-getting-started#getting-started-tutorial