Estimating Trust in Virtual Teams-A Framework based on Sentiment Analysis
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)?
SentiStrength
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 The framework can be found at https://github.com/Tulivick/Trust-Framework
4. What is the main goal of the whole study?
to create an automatic framework for detecting trust between members of global software development teams using sentiment analysis from comments and profile data available in versioning systems
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
to retrieve the polarity for every comment
6. Which dataset(s) the technique is applied on?
N/A
7. Is/Are the dataset(s) publicly available online? If yes, please indicate their name and links.
No
8. Is the application context (dataset or application domain) different from that for which the technique was originally designed?
Yes, sentistrength is used for comments here
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 evaluation
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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