Feb 26, 2023 · We also analyze the features to understand if there is any pattern involved in the features that associates to aggression in social media data.
Apr 15, 2019 · Some of the topics included BRAINSUP (Creation of Flexible Catchy Headlines), Humor Recognition and many more. Fazel and Sayef had the ...
Feb 26, 2023 · In this paper we extract different features from our social media data and perform supervised learning methods to understand which model produces the best ...
This paper presents a novel application of Support Vector Machines (SVM) in developing automated systems to detect hate speech on social media platforms, ...
In this paper we extract different features from our social media data and perform supervised learning methods to understand which model produces the best ...
This paper proposes an offensive text classification algorithm named LSTM-BOOST employing Long Short-Term Memory(LSTM) model with ensemble learning
The results also indicated that cognitive empathy moderated the effect of impulsive- irresponsible traits and social anxiety on online inhibition, interrupting ...
Participants who saw the violent video had faster reaction times to aggressive words. Videotape content did not influence reaction times to nonaggres- sive ...
Missing: Text. | Show results with:Text.
The goal of this study is to use state-of-the-art computational linguistic approach, and semantic-sentiment extraction techniques to find patterns for the ...
A Social Learning Understanding of Violence - ResearchGate
www.researchgate.net › publication › 35...
Oct 22, 2024 · The main interest of this article is to understand violence and aggression from the perspective of Bandura's social learning theory.