BERT-based ensemble learning for multi-aspect hate speech detection
The social media world nowadays is overwhelmed with unfiltered content ranging from
cyberbullying and cyberstalking to hate speech. Therefore, identifying and cleaning up such …
cyberbullying and cyberstalking to hate speech. Therefore, identifying and cleaning up such …
Prediction of network traffic in wireless mesh networks using hybrid deep learning model
Wireless mesh networks are getting adopted in the domain of network communication. Their
main benefits include adaptability, configuration, and flexibility, with added efficiency in cost …
main benefits include adaptability, configuration, and flexibility, with added efficiency in cost …
Context–aware assistive driving: an overview of techniques for mitigating the risks of driver in real-time driving environment
Purpose This study aims to analyze driver risks in the driving environment. A complete
analysis of context aware assistive driving techniques. Context awareness in assistive …
analysis of context aware assistive driving techniques. Context awareness in assistive …
A survey and comparative study on negative sentiment analysis in social media data
J Paul, A Das Chatterjee, D Misra, S Majumder… - Multimedia Tools and …, 2024 - Springer
With the rapid growth of internet usage, especially on social media, forums, review platforms,
and blogs, an enormous amount of data is being generated. This data often contains users' …
and blogs, an enormous amount of data is being generated. This data often contains users' …
Advancing offensive language detection in Arabic social media: a BERT-based ensemble learning approach
AC Mazari, A Benterkia, Z Takdenti - Social Network Analysis and Mining, 2024 - Springer
The growing ubiquity of online anonymity has significantly transformed the dynamics of
participation and collaboration across digital platforms, especially through social media …
participation and collaboration across digital platforms, especially through social media …
Soft computing for abuse detection using cyber‐physical and social big data in cognitive smart cities
The internet of things (IoT) and the smart city crusade has seen an exponential increase in
the number of data points we collect. Cities can use this data for an exceedingly …
the number of data points we collect. Cities can use this data for an exceedingly …
Pseudo-conventional approach for cyberbullying and hate-speech detection
N Jain, A Hegde, A Jain, A Joshi… - … on Advances in …, 2021 - ieeexplore.ieee.org
Cyberbullying is an upsetting web misconduct with alarming results. It shows up in various
structures, and in a large portion of the informal communities, it could be found in various …
structures, and in a large portion of the informal communities, it could be found in various …
A decentralized aggregation mechanism for training deep learning models using smart contract system for bank loan prediction
Data privacy and sharing has always been a critical issue when trying to build complex deep
learning-based systems to model data. Facilitation of a decentralized approach that could …
learning-based systems to model data. Facilitation of a decentralized approach that could …
Improved model configuration strategies for Kannada handwritten numeral recognition
Handwritten numeral recognition has been an important area in the domain of pattern
classification. The task becomes even more daunting when working with non-Roman …
classification. The task becomes even more daunting when working with non-Roman …
RAMAN: Robust Approaches for Multimodal ANomaly detection in Mars Rover Power Systems
This paper proposes RAMAN, a framework of approaches for multimodal anomaly detection
that is robust to different anomaly types, input data, and domain constraints for the Mars …
that is robust to different anomaly types, input data, and domain constraints for the Mars …