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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM30161

Semantic Conversational Content Moderation

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM30161

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM30161

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RB

Ravinarayana B

AUH

Ansar Ul Haq

AS

Anush Shetty

AS

Ankush Shenoy

D

Deepansh

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Abstract

In today’s digital environment, social media platforms have become an integral part of our daily lives, facilitating global communication, knowledge sharing and community building. However, these platforms are increasingly vulnerable to the spread of offensive and toxic content, including misinformation, harassment and hate speech. Such content poses a significant threat to the safety and well-being of Internet users. In response to this immediate problem, we set out to develop an AI-based conversation moderation service aimed at effectively detecting and removing offensive or semantically toxic information in real time. Our solutions strive to make the internet safer and more user-friendly, thereby promoting a more positive and inclusive online environment.

KEYWORDS

Natural Language Processing(NLP) Moderation Semantic Analysis Mistral.

Cite This Article

Ravinarayana B, Ansar Ul Haq, Anush Shetty, Ankush Shenoy, Deepansh, "Semantic Conversational Content Moderation," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM30161

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Publication Date

12/31/45386

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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