Anger and Its Direction in Collaborative 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)?
anger direction classifier with weka
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.
None
4. What is the main goal of the whole study?
To automatic identification of anger direction (self, others, objects)
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
To classify the anger direction
6. Which dataset(s) the technique is applied on?
Anger Direction Gold Standard Dataset: manually annotated gold standard of 723 sentences from Apache Jira issue reports
7. Is/Are the dataset(s) publicly available online? If yes, please indicate their name and links.
Anger Direction Gold Standard Dataset: available upon request
8. Is the application context (dataset or application domain) different from that for which the technique was originally designed?
N/A
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?
10-fold cross validation with SVM, J48, Naive Bayes, Majority Class, Random Guessing. The best performance is obtained with SVM, which reflects a bias towards the majority class object.
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, F-Measure
12. Write down any other comments/notes here.
-