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Article
Peer-Review Record

Intrinsic Emotion Recognition Considering the Emotional Association in Dialogues

Electronics 2023, 12(2), 326; https://doi.org/10.3390/electronics12020326
by Myung-Jin Lim 1, Moung-Ho Yi 2 and Ju-Hyun Shin 1,*
Reviewer 1:
Reviewer 2: Anonymous
Electronics 2023, 12(2), 326; https://doi.org/10.3390/electronics12020326
Submission received: 20 November 2022 / Revised: 19 December 2022 / Accepted: 26 December 2022 / Published: 8 January 2023
(This article belongs to the Special Issue Image Segmentation)

Round 1

Reviewer 1 Report

Please see the attachment.

Comments for author File: Comments.docx

Author Response

Thank you for your review. Everything has been meticulously checked and corrected.

Author Response File: Author Response.pdf

Reviewer 2 Report

The research is quite interesting, and the reasoning behind it is clear and concise. The authors present the results using the appropriate methodology.

 

 

Few questions that authors need to address in the paper. 

1.     In the languages of Asia, such as Japanese and Korean, there exists a system of honorific speech. It contains many honorific suffixes and prefixes during speech, depending on the person with whom you are conversing. When employing morpheme in natural language analysis, would it affect the accuracy of the model? how does this affect the model used to predict emotion? Please explain. 

2.     In the manuscript, the authors described six emotions; is there a different weight for each emotion in the model? how each emotion influences the dialogues?

3.     Authors must modify their English writing skills in order to improve the paper’s quality.

 

Author Response

Thank you for your review. Everything has been meticulously checked and corrected.

Author Response File: Author Response.pdf

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