Analyzing sentiments in elearning: A comparative study of bangla and romanized bangla text using transformers
In the modern world, learning is becoming increasingly critical due to rapid technological
breakthroughs, which highlight the need for continuous skill development in both the …
breakthroughs, which highlight the need for continuous skill development in both the …
A review on deep-learning-based cyberbullying detection
Bullying is described as an undesirable behavior by others that harms an individual
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
[HTML][HTML] A robust hybrid machine learning model for Bengali cyber bullying detection in social media
Social networking platforms give users countless opportunities to share information,
collaborate, and communicate positively. The same platform can be extended to a fabricated …
collaborate, and communicate positively. The same platform can be extended to a fabricated …
From Text to Insight: An Integrated CNN-BiLSTM-GRU Model for Arabic Cyberbullying Detection
EY Daraghmi, S Qadan, Y Daraghmi, R Yussuf… - IEEE …, 2024 - ieeexplore.ieee.org
Several research on cyberbullying detection have employed different deep learning and
machine learning methodologies to achieve promising outcomes. Nevertheless, most of …
machine learning methodologies to achieve promising outcomes. Nevertheless, most of …
Cyberbullying detection on twitter using deep learning-based attention mechanisms and continuous Bag of words feature extraction
Since social media platforms are widely used and popular, they have given us more
opportunities than we can even imagine. Despite all of the known benefits, some users may …
opportunities than we can even imagine. Despite all of the known benefits, some users may …
An application to detect cyberbullying using machine learning and deep learning techniques
M Raj, S Singh, K Solanki, R Selvanambi - SN computer science, 2022 - Springer
Nowadays, a lot of people indulge themselves in the world of social media. With the current
pandemic scenario, this engagement has only increased as people often rely on social …
pandemic scenario, this engagement has only increased as people often rely on social …
Sentiment analysis in multilingual context: Comparative analysis of machine learning and hybrid deep learning models
This research paper investigates the efficacy of various machine learning models, including
deep learning and hybrid models, for text classification in the English and Bangla …
deep learning and hybrid models, for text classification in the English and Bangla …
Aggression detection in social media from textual data using deep learning models
It is an undeniable fact that people excessively rely on social media for effective
communication. However, there is no appropriate barrier as to who becomes a part of the …
communication. However, there is no appropriate barrier as to who becomes a part of the …
Bangla natural language processing: A comprehensive analysis of classical, machine learning, and deep learning-based methods
The Bangla language is the seventh most spoken language, with 265 million native and non-
native speakers worldwide. However, English is the predominant language for online …
native speakers worldwide. However, English is the predominant language for online …
A survey of uncover misleading and cyberbullying on social media for public health
Misleading health information is a critical phenomenon in our modern life due to advance in
technology. In fact, social media facilitated the dissemination of information, and as a result …
technology. In fact, social media facilitated the dissemination of information, and as a result …