INFAR: Insight extraction from app reviews
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)?
It uses SURF [Andrea Di Sorbo et al. “What would users change in my app? summarizing app reviews for recommending software changes”. In: Proceedings of the 24th SIGSOFT International Symposium on Foundations of Software Engineering (FSE). ACM. 2016, pp. 499–510] to classify reviews into topic clusters.
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.
SURF https://www.ifi.uzh.ch/en/seal/people/panichella/tools/SURF.html
4. What is the main goal of the whole study?
The authors introduce INFAR, a tool that automatically extracts INsights From App Reviews across time periods and analysis dimensions, and presents them in natural language supported by an interactive chart
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
Check for topics trends in app reviews
6. Which dataset(s) the technique is applied on?
Six apps distributed on the Google Play store and on the App store
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?
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, but the performance is assessed based on feedback provided by participants using the tool
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?
Percentage of participants who found the tool useful, and the provided insights comprehensive.
12. Write down any other comments/notes here.
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