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Hate speech and target community detection in nastaliq urdu using transfer learning techniques
Freedom of expression on social media has provided oppressed people with many
opportunities to raise their voices against violence and injustice, but this freedom is being …
opportunities to raise their voices against violence and injustice, but this freedom is being …
Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization
With the rapid increase of users over social media, cyberbullying, and hate speech problems
have arisen over the past years. Automatic hate speech detection (HSD) from text is an …
have arisen over the past years. Automatic hate speech detection (HSD) from text is an …
Offensive Language Detection on Social Media using Machine Learning.
R Abdrakhmanov, SM Kenesbayev… - International …, 2024 - search.ebscohost.com
This research paper addresses the critical issue of cyberbullying detection within the realm
of social networks, employing a comprehensive examination of various machine learning …
of social networks, employing a comprehensive examination of various machine learning …
Fine-grained multilingual Hate speech detection using Explainable AI and Transformers
The detection of hate speech on online platforms is essential for maintaining safe and
inclusive digital environments. Although significant progress has been made in binary …
inclusive digital environments. Although significant progress has been made in binary …
Optimized Identification of Sentence-Level Multiclass Events on Urdu-Language-Text Using Machine Learning Techniques
In today's digital world, social media platforms generate a plethora of unstructured
information. However, for low-resource languages like Urdu, there is a scarcity of well …
information. However, for low-resource languages like Urdu, there is a scarcity of well …
Urdu Toxic Comment Classification with PURUTT Corpus Development
This study addresses the critical gap in toxic comment classification in Urdu, a widely
spoken language devoid of high-quality standard datasets. To address this gap, we …
spoken language devoid of high-quality standard datasets. To address this gap, we …
CAPTAIN: Capsule Network Integrated with Multilingual Transformer for Textual Abusive Content Detection in Online Social Networks
As online discussion and dialogue evolve, the proliferation of abusive content presents a
substantial challenge to preserving a respectful and inclusive digital environment …
substantial challenge to preserving a respectful and inclusive digital environment …
[HTML][HTML] An Improved PINN Algorithm for Shallow Water Equations Driven by Deep Learning
Y Li, Q Sun, J Wei, C Huang - Symmetry, 2024 - mdpi.com
Solving shallow water equations is crucial in science and engineering for understanding
and predicting natural phenomena. To address the limitations of Physics-Informed Neural …
and predicting natural phenomena. To address the limitations of Physics-Informed Neural …
Effective Analysis of Machine and Deep Learning Methods for Diagnosing Mental Health Using Social Media Conversations
Y Kasanneni, A Duggal, R Sathyaraj… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The increasing incidence of mental health issues demands innovative diagnostic methods,
especially within digital communication. Traditional assessments are challenged by the …
especially within digital communication. Traditional assessments are challenged by the …
Hate Speech Detection in Code-Mixed Datasets Using Pretrained Embeddings and Transformers
Social media platforms are more accessible than needed in this digital era. People are given
the freedom to express their thoughts, their emotions, and their opinions. And this freedom is …
the freedom to express their thoughts, their emotions, and their opinions. And this freedom is …