Comparing the Communication Tone and Responses of Users and Developers in Two R Mailing Lists: Measuring Positive and Negative Emails
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)?
SentiStrengthSE
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.
SentiStrength-SE
4. What is the main goal of the whole study?
To compare the characteristics of different communication tones and their relation to email replies
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
SentiStrengthSE: extract the tone expressed by the content of each of the messages
6. Which dataset(s) the technique is applied on?
emails from 2008 to 2017 on the Rhelp and R-devel mailing lists
7. Is/Are the dataset(s) publicly available online? If yes, please indicate their name and links.
No, need to manually extract from mailing lists.
8. Is the application context (dataset or application domain) different from that for which the technique was originally designed?
Yes, emails vs Jira comments
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?
Partially, calibrated SentiStrength-SE with 100 posts, and until 9 misclassifications left after clibration.
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?
misclassifications remained in the 100 randomly selected posts
12. Write down any other comments/notes here.
Calibrating SentiStrength-SE: changed the weights of the following words to zero in SentiStrength-SE: grave, poison, loss, goodness, and fine, and deleted the signatures and associated quotes in the email content by removing all text that followed the symbols “--”