Vietnamese hate and offensive detection using PhoBERT-CNN and social media streaming data
Society needs to develop a system to detect hate and offense to build a healthy and safe
environment. However, current research in this field still faces four major shortcomings …
environment. However, current research in this field still faces four major shortcomings …
Job prediction: From deep neural network models to applications
T Van Huynh, K Van Nguyen… - … on computing and …, 2020 - ieeexplore.ieee.org
Determining the job is suitable for a student or a person looking for work based on their job
descriptions such as knowledge and skills that are difficult, as well as how employers must …
descriptions such as knowledge and skills that are difficult, as well as how employers must …
Hate speech detection and classification in amharic text with deep learning
Hate speech is a growing problem on social media. It can seriously impact society,
especially in countries like Ethiopia, where it can trigger conflicts among diverse ethnic and …
especially in countries like Ethiopia, where it can trigger conflicts among diverse ethnic and …
MLHS-CGCapNet: A Lightweight Model for Multilingual Hate Speech Detection
The rapid advancement of computer technology and the widespread adoption of online
social media platforms have inadvertently provided fertile ground for individuals with …
social media platforms have inadvertently provided fertile ground for individuals with …
Cyberhate Dissemination: A Systematic Literature Map
M Almaliki - IEEE Access, 2023 - ieeexplore.ieee.org
Cyberhate against a person or a group based on their apparent identity, such as ethnicity,
religion or nationality, on social media platforms is quickly growing and spreading. This has …
religion or nationality, on social media platforms is quickly growing and spreading. This has …
Hate speech detection in Indonesian language instagram
IGM Putra, D Nurjanah - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Hate speech is a form of communication which contains hatred by doing things, such as
inciting, insulting, disparaging, or demeaning a person or group. Hate speech issues in …
inciting, insulting, disparaging, or demeaning a person or group. Hate speech issues in …
A simple and efficient ensemble classifier combining multiple neural network models on social media datasets in Vietnamese
HD Huynh, HTT Do, K Van Nguyen… - arXiv preprint arXiv …, 2020 - arxiv.org
Text classification is a popular topic of natural language processing, which has currently
attracted numerous research efforts worldwide. The significant increase of data in social …
attracted numerous research efforts worldwide. The significant increase of data in social …
Empirical study of text augmentation on social media text in Vietnamese
In the text classification problem, the imbalance of labels in datasets affect the performance
of the text-classification models. Practically, the data about user comments on social …
of the text-classification models. Practically, the data about user comments on social …
A comparison of text preprocessing techniques for hate and offensive speech detection in Twitter
A Glazkova - Social Network Analysis and Mining, 2023 - Springer
Preprocessing is a crucial step for each task related to text classification. Preprocessing can
have a significant impact on classification performance, but at present there are few large …
have a significant impact on classification performance, but at present there are few large …
XLMR4MD: New Vietnamese dataset and framework for detecting the consistency of description and permission in Android applications using large language models
QN Nguyen, NT Cam, K Van Nguyen - Computers & Security, 2024 - Elsevier
Google Play and other application marketplaces have various Android applications and
metadata. Among these, description information and privacy policy help explain the …
metadata. Among these, description information and privacy policy help explain the …