Sentiment Polarity Detection for Software Development
1. Does the paper propose a new opinion mining approach?
Yes
2. Which opinion mining techniques are used (list all of them, clearly stating their name/reference)?
Senti4SD, a novel approach
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.
https://github.com/collab-uniba/Senti4SD Everything is there
4. What is the main goal of the whole study?
Sentiment analysis in developers' communication channels
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
build a classifier to classify SO posts
6. Which dataset(s) the technique is applied on?
custom built dataset of 4,423 SO posts
7. Is/Are the dataset(s) publicly available online? If yes, please indicate their name and links.
https://github.com/collab-uniba/Senti4SD
8. Is the application context (dataset or application domain) different from that for which the technique was originally designed?
no
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?
Yes, using precision, recall and F-Measure. Results outperform the SentiStrength baseline
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?
precision, recall and F-Measure
12. Write down any other comments/notes here.
-