Sentiment Analysis of Open Source Software Community Mailing List: A Preliminary Analysis

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?

See if they can detect what types of sentiment is more evident during a release cycle and whether it changes

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

Calculate a sentiment score and study its evolution in time

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

34,986 emails which were cleaned

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

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, only scores are computed

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?

No success metric

12. Write down any other comments/notes here.

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