Impact of SMOTE on imbalanced text features for toxic comments classification using RVVC model
V Rupapara, F Rustam, HF Shahzad… - IEEE …, 2021 - ieeexplore.ieee.org
Social media platforms and microblogging websites have gained accelerated popularity
during the past few years. These platforms are used for expressing views and opinions …
during the past few years. These platforms are used for expressing views and opinions …
Characterization and mechanical properties of offensive language taxonomy and detection techniques
SV Kogilavani, S Malliga, KR Jaiabinaya… - Materials Today …, 2023 - Elsevier
Abstract Machine learning is the sub field of Artificial Intelligence which is responsible for
developing a system that has the capability to learn and improve from past experience …
developing a system that has the capability to learn and improve from past experience …
Automatic hate speech detection using deep neural networks and word embedding
Hatred spreading through the use of language on social media platforms and in online
groups is becoming a well-known phenomenon. By comparing two text representations: bag …
groups is becoming a well-known phenomenon. By comparing two text representations: bag …
[PDF][PDF] Towards developing a measure to assess contagiousness of toxic tweets
Toxicity is rampant on social media platforms. In this study, we use COVID-19 datasets
discussing the use of face masks, vaccines, 5G, and Bill Gates conspiracy theories to …
discussing the use of face masks, vaccines, 5G, and Bill Gates conspiracy theories to …
Classification of social media Toxic comments using Machine learning models
K Poojitha, AS Charish, M Reddy… - arXiv preprint arXiv …, 2023 - arxiv.org
The abstract outlines the problem of toxic comments on social media platforms, where
individuals use disrespectful, abusive, and unreasonable language that can drive users …
individuals use disrespectful, abusive, and unreasonable language that can drive users …
Automatic hate speech detection using cnn model and word embedding
Hatred spreading through the use of language on social media platforms and in online
groups is becoming a well-known phenomenon. By comparing two text representations: bag …
groups is becoming a well-known phenomenon. By comparing two text representations: bag …
Analysis of multiple toxicities using ML algorithms to detect toxic comments
KA Kumar, B Kanisha - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
Toxic Comment Classification is a classification problem that needs to be addressed these
days. People can expresstheir thoughts on the internet via social media platforms. Hence itis …
days. People can expresstheir thoughts on the internet via social media platforms. Hence itis …
CommentClass: A Robust Ensemble Machine Learning Model for Comment Classification
Enormous amounts of data are generated in the form of feedback or comments from online
platforms such as social media, e-commerce, education, and programming. This feedback …
platforms such as social media, e-commerce, education, and programming. This feedback …
[HTML][HTML] Тактики развёртывания конфликта в интернет-коммуникации периода пандемии COVID-19
ОЮ Гукосьянц, ОА Алимурадов - Отечественная филология, 2023 - cyberleninka.ru
Цель. Рассмотреть основные тактики конфликтного взаимодействия,
разворачивающегося после возникновения основного противоречия, в виртуальной …
разворачивающегося после возникновения основного противоречия, в виртуальной …
Detecting Conversational Mental Manipulation with Intent-Aware Prompting
Mental manipulation severely undermines mental wellness by covertly and negatively
distorting decision-making. While there is an increasing interest in mental health care within …
distorting decision-making. While there is an increasing interest in mental health care within …