Why people hate your app: making sense of user feedback in a mobile app store

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)?

regression model, LDA (topic modeling)

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?

detect inconsistent comments/ratings and identify reasons why users like or dislike a given

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

regression model to check inconsistency between rates and review text, LDA to model the topics of why users dislike apps

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

Google Play store reviews

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, unsupervised learning

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

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.

-