A literature survey on multimodal and multilingual automatic hate speech identification
A Chhabra, DK Vishwakarma - Multimedia Systems, 2023 - Springer
Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …
about any topic or article, which consequently leads to unstructured toxic, and hateful …
Hate speech detection: A comprehensive review of recent works
There has been surge in the usage of Internet as well as social media platforms which has
led to rise in online hate speech targeted on individual or group. In the recent years, hate …
led to rise in online hate speech targeted on individual or group. In the recent years, hate …
Roman Urdu hate speech detection using transformer-based model for cyber security applications
Social media applications, such as Twitter and Facebook, allow users to communicate and
share their thoughts, status updates, opinions, photographs, and videos around the globe …
share their thoughts, status updates, opinions, photographs, and videos around the globe …
Hate speech detection in social media: Techniques, recent trends, and future challenges
Abstract The realm of Natural Language Processing and Text Mining has seen a surge in
interest from researchers in hate speech detection, leading to an increase in related studies …
interest from researchers in hate speech detection, leading to an increase in related studies …
[HTML][HTML] Automatic rating method based on deep transfer learning for machine translation considering contextual semantic awareness
Y Li, Y Wu, G Zhu - Alexandria Engineering Journal, 2024 - Elsevier
With the acceleration of globalization, machine translation (MT) plays an increasingly
prominent role in cross-language communication. However, how to evaluate the quality of …
prominent role in cross-language communication. However, how to evaluate the quality of …
Abusive Language Detection in Urdu Text: Leveraging Deep Learning and Attention Mechanism
The widespread use of the Internet and the tremendous growth of social media have
enabled people to connect with each other worldwide. Individuals are free to express …
enabled people to connect with each other worldwide. Individuals are free to express …
Hybrid CNN-LSTM Network for Cyberbullying Detection on Social Networks using Textual Contents
In the face of escalating cyberbullying and its associated online activities, devising effective
mechanisms for its detection remains a critical challenge. This study proposes an innovative …
mechanisms for its detection remains a critical challenge. This study proposes an innovative …
So-haTRed: A novel hybrid system for Turkish Hate Speech Detection in Social Media with Ensemble Deep Learning improved by BERT and clustered-Graph …
Hate speech on online platforms, characterized by discriminatory language targeting
individuals or groups, poses significant harm and necessitates robust detection methods for …
individuals or groups, poses significant harm and necessitates robust detection methods for …
Deep Learning Based Cyberbullying Detection in Bangla Language
The Internet is currently the largest platform for global communication including expressions
of opinions, reviews, contents, images, videos and so forth. Moreover, social media has now …
of opinions, reviews, contents, images, videos and so forth. Moreover, social media has now …
Cyberbullying detection and abuser profile identification on social media for roman urdu
In today's digital era, the escalating phenomenon of cyberbullying is a pervasive and
growing concern. With the increasing prevalence of social media platforms, such as Twitter …
growing concern. With the increasing prevalence of social media platforms, such as Twitter …