Analyzing software reviews for software quality-based ranking
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)?
keywords matching
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 extract of software quality comparison from user reviews to present the ranked software in different quality aspects
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
keywords matching: Quality Classification, Term sentiment classification and Comparative relation extraction
6. Which dataset(s) the technique is applied on?
randomly selected websites (unclear which websites are selected)
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, compared with expert judgment. Quality Classification: recall of 96.3%, the precision 94.9%, and the F-Measure of 95.6% Sentiment Classification: accuracy 89.7% Software Ranking: Pearson’s correlation coefficient between approach and expert judgment
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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