For user-driven software evolution: Requirements elicitation derived from mining online 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)?
Double propagation: Qiu, G., Liu, B., Bu, J., Chen, C.: Sentiment Word Expansion and Target Extraction through Double Propagation. Comput. Linguist. 37, 9–27 (2011) Extended with several rules to improve accuracy.
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.
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4. What is the main goal of the whole study?
Mine opinions from online reviews and cluster these such that large amounts of online reviews can be automatically processed.
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
Calculate the sentiment and target of online reviews.
6. Which dataset(s) the technique is applied on?
Authors use two manually labeled datasets of Kaspersky reviews and reviews for the iOS app TuneIn.
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?
Yes, technique was designed for camera reviews, and is now applied on review data from the app store / software.
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?
Precision, Recall, and F1 score are verified against hand labeled data. Showing that the proposed tool by the authors scores roughly a F1 score of .8 when it comes to identifying opinions and determining polarity. Moreover, the authors compare hand made reports with automatically generated reports, finding that their tool manages to identify the same number of important requests.
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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