Analyzes the body of issues, pull requests and comments downstream for sentiment. If negative sentiment >= 60% is detected, a label is applied to the issue or pull request.
MIT License
Azure runtime for isomorphic javascript libraries generated by Autorest
Sentiment and emotion analysis cli that uses machine learning and natural language processing to ...
GitHub Action to analyze the saltiness of an action
Microsoft Security DevOps for GitHub Actions.
Generative AI Scripting for VSCode
This repository is for active development of the Azure SDK for JavaScript (NodeJS & Browser). For...
A GitHub Action & Azure Pipelines task for augmenting pull request titles to let reviewers quickl...
Analyzes each PR's impact on esbuild bundle size