Peer review reports
From: A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises
Original Submission |
5 Aug 2022 |
Submitted |
Original manuscript
|
Resubmission - Version 2 |
|
Submitted |
Manuscript version 2
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Resubmission - Version 3 |
|
Submitted |
Manuscript version 3
|
18 Sep 2022 |
Reviewed |
Reviewer Report
|
15 Nov 2022 |
Reviewed |
Reviewer Report
|
15 Feb 2023 |
Author responded |
Author comments - Ye Wang
|
Resubmission - Version 4 |
15 Feb 2023 |
Submitted |
Manuscript version 4
|
23 Mar 2023 |
Author responded |
Author comments - Ye Wang
|
Resubmission - Version 5 |
23 Mar 2023 |
Submitted |
Manuscript version 5
|
27 Mar 2023 |
Author responded |
Author comments - Ye Wang
|
Resubmission - Version 6 |
27 Mar 2023 |
Submitted |
Manuscript version 6
|
29 Mar 2023 |
Reviewed |
Reviewer Report
|
8 May 2023 |
Author responded |
Author comments - Ye Wang
|
Resubmission - Version 7 |
8 May 2023 |
Submitted |
Manuscript version 7
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Publishing |
11 May 2023 |
Editorially accepted |
|
24 May 2023 |
Article published |
10.1186/s12889-023-15882-7
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