[HTML][HTML] A survey on hate speech detection and sentiment analysis using machine learning and deep learning models
In today's digital era, the rise of hate speech has emerged as a critical concern, driven by the
rapid information-sharing capabilities of social media platforms and online communities. As …
rapid information-sharing capabilities of social media platforms and online communities. As …
Overview of the hasoc subtrack at fire 2021: Hate speech and offensive content identification in english and indo-aryan languages and conversational hate speech
The HASOC track is dedicated to the evaluation of technology for finding Offensive
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
Detecting offensive speech in conversational code-mixed dialogue on social media: A contextual dataset and benchmark experiments
Abstract The spread of Hate Speech on online platforms is a severe issue for societies and
requires the identification of offensive content by platforms. Research has modeled Hate …
requires the identification of offensive content by platforms. Research has modeled Hate …
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 …
EnsMulHateCyb: Multilingual hate speech and cyberbully detection in online social media
Nowadays, users across the globe interact with one another for information exchange,
communication, and association on various online social media. However, some individuals …
communication, and association on various online social media. However, some individuals …
Overview of the hasoc subtrack at fire 2021: Hate speech and offensive content identification in english and indo-aryan languages
The widespread of offensive content online such as hate speech poses a growing societal
problem. AI tools are necessary for supporting the moderation process at online platforms …
problem. AI tools are necessary for supporting the moderation process at online platforms …
A transfer learning approach for detecting offensive and hate speech on social media platforms
Over the last few decades, the expansion of technology and the internet has led to the
number of users proliferating on social media, with a simultaneous increase in hate speech …
number of users proliferating on social media, with a simultaneous increase in hate speech …
Fuser: An enhanced multimodal fusion framework with congruent reinforced perceptron for hateful memes detection
F Wu, B Gao, X Pan, L Li, Y Ma, S Liu, Z Liu - Information Processing & …, 2024 - Elsevier
As a multimodal form of hate speech on social media, hateful memes are more aggressive
and cryptic threats to the real life of humans. Automatic detection of hateful memes is crucial …
and cryptic threats to the real life of humans. Automatic detection of hateful memes is crucial …
Learning interpretable word embeddings via bidirectional alignment of dimensions with semantic concepts
We propose bidirectional imparting or BiImp, a generalized method for aligning embedding
dimensions with concepts during the embedding learning phase. While preserving the …
dimensions with concepts during the embedding learning phase. While preserving the …
RETRACTED ARTICLE: Multilingual hate speech detection sentimental analysis on social media platforms using optimal feature extraction and hybrid diagonal gated …
P Kar, S Debbarma - The Journal of Supercomputing, 2023 - Springer
Many activities are conducted on social media platforms, such as promoting products,
sharing news and sharing achievements. As a result of users' freedom and anonymity on …
sharing news and sharing achievements. As a result of users' freedom and anonymity on …