Refined Information Service Using Knowledge-Base and Deep Learning to Extract Advertisement Articles from Korean Online Articles
Round 1
Reviewer 1 Report
The paper manuscript embodies an original empirical contribution in the field of Knowledge-Based Management System (KBMS) and deep learning system. The obtained results are discussed in the context of deep learning technology. The authors present his own research study, which is clearly and comprehensibly presented and methodologically well documented. The authors have appropriate linked the original research study with relevant literature. The results presented in the paper are useful for academic and practical purposes. The extent of the paper manuscript is at the required level. Readability and English grammar are at the very good level.
Author Response
Dear reviewer, thanks for your kind idea regarding the manuscript.
Reviewer 2 Report
Dear Authors
Please, correct an abstract, while it shouldn't include parts of the manuscript.
Figure 8 should be corrected (figure is mirrored horizontally).
In paper doesn't shown an effect of solution to sustinability, that is the scope of journal.
There is no discussion section into manuscript.
Author Response
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Author Response File: 
Author Response.docx
Reviewer 3 Report
The author talks about the illegality of article advertisement, but did not give any background that leads to this conclusion. It came out of nowhere. From what I know, article advertisements are not illegal, so I am not sure what the author(s) are insinuating here.
Also, they go on to highlight thr differences between advertising and press releases. I do not think this is necessary since the paper has nothing to do with press releases.
Using terms like "expanding indiscriminately" reveals the author(s)' bias and this needs to adjusted, especially since this sentiment is not rooter in facts and the authors have not provided evidence of this indiscriminate expansion.
Interesting article in general
Author Response
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Reviewer 4 Report
The designed study system is to provide high-quality online articles excluding promotions by designing a system using a Knowledge-Based Management System (KBMS) and deep learning system to solve the problems of advertisements. In other words, this system compares advertisement phrases or general keywords related to a specific company and product promotion with the contents to be searched in the database system of the knowledge-based management service. It brings the desired information after the extraction and purification of unnecessary definitions. In addition, as a method to obtain more accurate information, it is designed to have an extraction and purification process to get the desired information through the final step to which the deep learning technology is applied.
I read this paper with great interest; however, I have few suggestions, following those might improve the quality of the manuscript.
· Abstract: Too much background information in the Abstract, I suggest to reduce the background information and focus more on the Methods, research design, and findings of the study. Also, who would be get benefitted from this research.
· In Related Research on Advertisement Articles, the literature review part can be improved. The underlying rationale for this research gap is not very clear. I suggest you provide more justifications to enhance the legitimacy of this identified gap.
· Correct the referencing style in 3.1. Deep Learning Line 344.
· In 5. Conclusion section, the practical implication of the study should be explicitly mentioned. Who should be benefitted from this research.
· Finally, a comparison would be beneficial between the system designed in this research with the other research who used deep learning methods in the similar domain. This will let the future researchers to know about the efficiency of your system.
Good luck
Author Response
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