Understanding feature requests by leveraging fuzzy method and linguistic 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)?

fuzzy-rules based classifier: generate a set of fuzzy rules based on natural language processing techniques that classify each sentence in feature requests into a set of categories: Intent, Explanation, Benefit, Drawback, Example and Trivia. Consequently, the feature requests can be automatically structured based on the classification results.

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.

link invalid

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

to automatically analyze and structure the contents of feature requests based on fuzzy rules and natural language processing techniques

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

to classify feature requests into a set of categories: Intent, Explanation, Benefit, Drawback, Example and Trivia

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

2,112 sentences taken from 602 feature requests of nine popular open source projects

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

link invalid

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?

evaluated the classification results of each machine learning model by precision, recall, f-measure, correctness and misclassification their approach achieved a correctness of 87% and misclassification of 22% on the classification results

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.

-