Deep learning for detecting inappropriate content in text (original) (raw)

A Survey on Deep Learning for the Detection of the Inappropriate Content Present in Text

Haadi Teli

International Journal of Engineering Applied Sciences and Technology

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AI ML NIT Patna at HASOC 2019: Deep Learning Approach for Identification of Abusive Content

kirti kumari

2019

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Comparison of Deep Learning Models and Various Text Pre-Processing Techniques for the Toxic Comments Classification

Peter Butka

Applied Sciences

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IRJET-Profanity Filter and Safe Chat Application using Deep Learning

IRJET Journal

IRJET, 2021

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Convolutional Neural Networks for Toxic Comment Classification

Spiros Georgakopoulos

Proceedings of the 10th Hellenic Conference on Artificial Intelligence

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Toxic Comments Identification and Classification Using Deep Neural Networks

Amit Kumar Bala

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Textual Aggression Detection through Deep Learning

Daniela Godoy

2018

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Cyberbullying Detection and Handling: A Deep Learning Approach

Grenze International Journal of Engineering and Technology GIJET

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Toxic Comment Classification Using Neural Networks and Machine Learning

Meetkumar Patel

International Advanced Research Journal in Science, Engineering and Technology, 2018

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DETECTING ABUSIVE AND INSULTING COMMENTS ON SOCIAL MEDIA

Dr. B V RamaKrishna

IJIEMR, 2022

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MaLang: A Decentralized Deep Learning Approach for Detecting Abusive Textual Content

Dr. Meenalosini Vimal Cruz

Applied Sciences

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Cyberbullying Messages Detection Using Machine Learning and Deep Learning

rama prasad

International Journal of Advances in Scientific Research and Engineering (ijasre), 2024

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An Intense Study of Machine Learning Research Approach to Identify Toxic Comments

International Journal of Scientific Research in Computer Science, Engineering and Information Technology IJSRCSEIT

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2022

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Recurrent Neural Network Architectures with Trained Document Embeddings for Flagging Cyber-Aggressive Comments on Social Media

ABHISHEK NARAYANAN

2018

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An Assessment of Deep Learning Models and Word Embeddings for Toxicity Detection within Online Textual Comments

Harald Sack

Electronics

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Bullyspoiler: Detect and Block Cyberbullying Tweet and Bully using Deep Learning

AJAST Journal

Irish Interdisciplinary Journal of Science & Research, 2022

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HAD-Tübingen at SemEval-2019 Task 6: Deep Learning Analysis of Offensive Language on Twitter: Identification and Categorization

Anita Soloveva

Association for Computational Linguistics, 2019

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Toxic Comment Detection using LSTM

Sanober Shaikh

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC), 2020

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RGCL at GermEval 2019: Offensive Language Detection with Deep Learning

Constantin Orasan

KONVENS, 2019

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Detection and Classification of Toxic Comments by Using LSTM and Bi-LSTM Approach

Simrann Arora

Communications in Computer and Information Science

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Investigating Deep Learning Approaches for Hate Speech Detection in Social Media

PRASHANT KAPIL

ArXiv, 2020

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From Machine Learning to Deep Learning for Detecting Abusive Messages in Arabic Social Media: Survey and Challenges

Chiraz Zribi

2020

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Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervision

Chandra Khatri

2018

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Towards A Multi-agent System for Online Hate Speech Detection

gaurav sahu

2021

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JU_ETCE_17_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets

Mainak Pal

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

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SSN_NLP at SemEval-2019 Task 6: Offensive Language Identification in Social Media using Traditional and Deep Machine Learning Approaches

Aravindan Chandrabose

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

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An Application to Detect Cyberbullying Using Machine Learning and Deep Learning Techniques

Samridhi Singh

SN Computer Science

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Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms

Sweta Agrawal

Lecture Notes in Computer Science, 2018

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Abusive comment identification on Indonesian social media data using hybrid deep learning

Ruhaila Maskat

IAES International Journal of Artificial Intelligence (IJ-AI)

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IJERT-Audio and Video Toxic Comments Detection and Classification

IJERT Journal

International Journal of Engineering Research and Technology (IJERT), 2020

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MACHINE LEARNING AND DEEP LEARNING TECHNIQUES FOR DETECTING ABUSIVE CONTENT ON TWITTER

IRJET Journal

IRJET, 2022

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DA-LD-Hildesheim at SemEval-2019 Task 6: Tracking Offensive Content with Deep Learning using Shallow Representation

Daksh Patel

Proceedings of the 13th International Workshop on Semantic Evaluation

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Detecting Hate Speech and Offensive Language using Machine Learning in Published Online Content

Clement Sinyangwe

ZAMBIA INFORMATION COMMUNICATION TECHNOLOGY (ICT) JOURNAL, 2023

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A Multi-Platform Approach Using Hybrid Deep Learning Models for Automatic Detection of Hate Speech on Social Media

Yusuf Baha

BIMA JOURNAL OF SCIENCE AND TECHNOLOGY (2536-6041)

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A Review on Deep-Learning-Based Cyberbullying Detection

Arifa Akter 5300

Future Internet

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