A Longitudinal Study on the Maintainers' Sentiment of a Large Scale Open Source Ecosystem
1. Does the paper propose a new opinion mining approach?
No
2. Which opinion mining techniques are used (list all of them, clearly stating their name/reference)?
Senti4SD
3. Which opinion mining approaches in the paper are publicly available? Write down their name and links. If no approach is publicly available, leave it blank or None.
Senti4SD
4. What is the main goal of the whole study?
To assess whether the maintainers’ sentiment changed after Linus Torvalds’ temporary break from his maintainer role
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
To detect the sentiment polarity expressed in e-mail threads
6. Which dataset(s) the technique is applied on?
15,166 e-mail threads that contain at least one subsystem maintainer from January 2017 to January 2019
7. Is/Are the dataset(s) publicly available online? If yes, please indicate their name and links.
No, need to manually mine from mailing list
8. Is the application context (dataset or application domain) different from that for which the technique was originally designed?
Slightly, Emails vs StackOverflow
9. Is the performance (precision, recall, run-time, etc.) of the technique verified? If yes, how did they verify it and what are the results?
No
10. Does the paper replicate the results of previous work? If yes, leave a summary of the findings (confirm/partially confirms/contradicts).
No
11. What success metrics are used?
N/A
12. Write down any other comments/notes here.
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