Automated detection of profanities for film censorship using deep learning
Given the excessive profanities identified in audio and video files and the detrimental consequences to an individual‟s character and behaviour, content censorship is crucial to filter profanities from young viewers with higher exposure to uncensored content. Although manual detection and censorship...
Saved in:
Main Author: | Ba Wazir, Abdulaziz Saleh |
---|---|
Format: | Thesis |
Published: |
2022
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep learning for face detection using matlab
by: Slim, Salim Adnan
Published: (2020) -
Video analytics using deep learning for hajj pilgrimage crowd monitoring
by: Bhuiyan, Md Roman
Published: (2022) -
Deep learning-based sentiment analysis using RoBERTa and sequence models
by: Tan, Kian Long
Published: (2023) -
Hybrid deep-learning approach for document-context aware recommendation system
by: Ong, Kyle
Published: (2021) -
ESET-ConvNet: Deep learning hybrid model for stock price prediction
by: Ang, John Syin
Published: (2022)