Software usability evaluation using opinion mining

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)?

Custom technique proposed in the paper.

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.

The technique is custom and no source is available.

4. What is the main goal of the whole study?

Use opinion mining to mine subjective usability comments and summarize them.

5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?

Calculate the sentiment of software reviews and aggregate the information.

6. Which dataset(s) the technique is applied on?

manually collected reviews for 4 different software projects, manually encoded with a positive negate label.

7. Is/Are the dataset(s) publicly available online? If yes, please indicate their name and links.

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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, precision, recall, and F1 are compared to hand-rated items. results shows an accuracy of roughly 80-90% for 3 different categories.

10. Does the paper replicate the results of previous work? If yes, leave a summary of the findings (confirm/partially confirms/contradicts).

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11. What success metrics are used?

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12. Write down any other comments/notes here.

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