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Impact of SMOTE on imbalanced text features for toxic comments classification using RVVC model
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
Abstract Machine learning is the sub field of Artificial Intelligence which is responsible for
develo** a system that has the capability to learn and improve from past experience …
develo** 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 develo** 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 …
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 …
Selection and evaluation of a set of attributes appropriate for detection of antisocial behaviour in online media
K Machová, V Balara, M Mach, Š Kožík - Multimedia Tools and …, 2025 - Springer
Nowadays the world of modern technologies brings new ways of communication and
interaction between people. Online communication becomes faster and more convenient …
interaction between people. Online communication becomes faster and more convenient …
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 …
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 …
Toxic comment identification and classification using bert and svm
I Gladwin, EV Renjiro, B Valerian… - … on Science and …, 2022 - ieeexplore.ieee.org
Bullying cases like toxic comments on many social media platforms cause a negative impact
that occurs in every age circles. From those cases, we would like to make a system that can …
that occurs in every age circles. From those cases, we would like to make a system that can …