Peer-Review Record
A Sentiment Analysis Method Based on a Blockchain-Supported Long Short-Term Memory Deep Network
Sensors 2022, 22(12), 4419; https://doi.org/10.3390/s22124419
Reviewer 1:
Reviewer 2:
Sensors 2022, 22(12), 4419; https://doi.org/10.3390/s22124419
Submission received: 20 April 2022
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Revised: 13 May 2022
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Accepted: 20 May 2022
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Published: 11 June 2022
(This article belongs to the Special Issue Sensor Data Processing for Social Reasoning and Artificial Empathy in Human-Centred Systems)
Round 1
Reviewer 1 Report
- This paper does not see the specific application of blockchain technology, and the description of this part can be added.
- How do you apply the hash algorithm SHA256? This paper has not seen it. The author's technical research is not deep enough. This can be explained again.
- Please explain the relationship between Proof of Learning and blockchain.
- Whether there is a system to make a screen, you can take a screenshot to explain.
Author Response
Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
The paper reflects substantial work. However, it has significant flaws in the proposed method. Please refer to my comments on the document.
- The author should improve his PoC by using graphs
- He should describe his simulation environment
The abstract should be revised to reflect the paper’s contents.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
This author has answered previously posed questions. The paper becomes more complete. The author has revised the paper well.
Reviewer 2 Report
Thank you for addressing most of my concerns.
