Linguistic Analysis for Identifying Depression and Subsequent Suicidal Ideation on Weibo: Machine Learning Approaches
Round 1
Reviewer 1 Report
1. Conclusion presentation is very poor. Please add future research direction in conclusion section with elaboration.
2. Please highlight main contribution of the research in Abstract section.
3. Please add discussion section and sensitivity analysis with respect to major parameter.
4. Comparative analysis presentation in the revised paper.
5. Paper has some grammatical errors please re-check all grammatical mistake in the revised version.
6. Introduction section has much non related citation. Please add some related citation.
Author Response
"Please see the attachment.
Author Response File: 
Author Response.docx
Reviewer 2 Report
Some percentage (39%) of plagiarism has been detected on Turnitin.
The article needs some improvements for English. The dataset used is just one and related to a sub-community.
It would be interesting to evaluate the study on several datasets from different social networks.
Title promises machine learning approaches but actually only two are provided.
Conclusions reported confirm that this work simply validates previous results from other researches. So the novelty lies only in the fact that that previous study conclusions apply to this new Weibo dataset too.
So, further investigations on other datasets and/or models are needed.
Author Response
"Please see the attachment.
Author Response File: Author Response.docx
Round 2
Reviewer 2 Report
Unfortunally most of the previous comments of my previous review were not take into consideration.
The most relevant is related to the novelty of the work that, as already stated: "Conclusions reported confirm that this work simply validates previous results from other researches. So the novelty lies only in the fact that that previous study conclusions apply to this new Weibo dataset too."
Author Response
Please see the attachment.
Author Response File: 
Author Response.pdf
