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.
Ok, so I have been working on analyzing the comments for PRs, right now I am just doing a basic sentiment analysis of the aggregated comments.
One problem is that is it very slow :/ (I think due to the sentiment analysis) I'll send a picture of the result.
Right now I am just working on some mock data, so we will have to integrate it with the data extraction.
Ok, so I have been working on analyzing the comments for PRs, right now I am just doing a basic sentiment analysis of the aggregated comments. One problem is that is it very slow :/ (I think due to the sentiment analysis) I'll send a picture of the result. Right now I am just working on some mock data, so we will have to integrate it with the data extraction.