ARdoc: App Reviews Development Oriented Classifier

1. Does the paper propose a new opinion mining approach?

No

2. Which opinion mining techniques are used (list all of them, clearly stating their name/reference)?

Stanford CoreNLP C. D. Manning, M. Surdeanu, J. Bauer, J. Finkel,S. J. Bethard, and D. McClosky, The Stanford CoreNLP natural language processing toolkit," in Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55{60, 2014.

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.

Stanford CoreNLP https://nlp.stanford.edu/sentiment/

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

A tool tool that automatically classifi es useful sentences in user reviews from a software maintenance and evolution perspective in five categories: feature request, problem discovery, information seeking, information giving and other.

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

Sentiment as one of the features used for prediction

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

User reviews related to three real-life mobile apps: Minesweeper Reloaded, PowernAPP and Picturex

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

N/A

8. Is the application context (dataset or application domain) different from that for which the technique was originally designed?

Yes

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?

No, or at least not in this paper

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

Kind of. They state that they compare the conclusions derived using the new tool with those obtained in their previous work: S. Panichella, A. Di Sorbo, E. Guzman, C. A. Visaggio, G. Canfora, and H. C. Gall, \How can i improve my app? classifying user reviews for software maintenance and evolution," in Software Maintenance and Evolution (ICSME), 2015 IEEE International Conference on, pp. 281-290, Sept 2015. However, the comparison criteria/success metrics are not defined and results are not reported.

11. What success metrics are used?

N/A

12. Write down any other comments/notes here.

This is a tool paper, is there a longer version?