A Deep Learning-Based Approach for Inappropriate Content Detection and Classification of YouTube Video

A Deep Learning-Based Approach for Inappropriate Content Detection and Classification of YouTube Video Mr. B. Vijaykumar¹*, V. Vineela², Surendhar Reddy³, Ch. Pramod⁴, K. Devulal⁵ Abstract This research develops an intelligent system leveraging deep learning methodologies to identify and categorize harmful content within YouTube video content, with particular emphasis on animated materials directed toward young audiences. […]

Authors

Publication Details

Journal
International Journal of Science Architecture Technology and Environment
Published
2025-10-16
DOI
https://doi.org/10.63680/ijsate1025044.041
Primary Topic
Digital Media Forensic Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

A Deep Learning-Based Approach for Inappropriate Content Detection and Classification of YouTube Video

B. Vijaykumar
International Journal of Science Architecture Technology and Environment
Digital Media Forensic Detection
article

A Deep Learning-Based Approach for Inappropriate Content Detection and Classification of YouTube Video

B. Vijaykumar
article en

Abstract

A Deep Learning-Based Approach for Inappropriate Content Detection and Classification of YouTube Video Mr. B. Vijaykumar¹*, V. Vineela², Surendhar Reddy³, Ch. Pramod⁴, K. Devulal⁵ Abstract This research develops an intelligent system leveraging deep learning methodologies to identify and categorize harmful content within YouTube video content, with particular emphasis on animated materials directed toward young audiences. […]

International Journal of Science Architecture Technology and Environment
Openalex Percentile: Top 71%
Digital Media Forensic Detection
DOISourceOpenAlex
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