Topics of concern: identifying user issues in reviews of IoT apps and devices

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)?

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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?

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

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

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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?

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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?

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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.

paper does tapic modeling, no automated sentiment mining.