| Titre : | Big Five Personality Traits and Ensemble Machine Learning | | Type de document : | projet fin études | | Auteurs : | Fahim Maryam, Auteur | | Langues : | Français (fre) | | Catégories : | BIG DATA
| | Index. dĂ©cimale : | mast 287/19 | | RĂ©sumĂ© : | In recent years, cyber-violence against social media users have grown significantly, causing serious consequences to victims of all demographics, which was the reason why researches took this problem seriously. In this work we present machine learning models that can predict cyber-violence in social media, while demonstrating how big five personality traits are associated to the harmful behaviour online. We use a set of ensemble learning algorithms with engineered features related to the vocabulary used in each Big Five personality trait namely, Agreeableness, Conscientiousness, Extraversion, Neuroticism and Openness. The Results show a significant association between the individuals’ personality and the harmful intention. This result can be a good indicator of online users’ susceptibility to cyber-violence and therefore can help in dealing with it. |
Big Five Personality Traits and Ensemble Machine Learning [projet fin études] / Fahim Maryam, Auteur . - [s.d.]. Langues : Français ( fre) | Catégories : | BIG DATA
| | Index. dĂ©cimale : | mast 287/19 | | RĂ©sumĂ© : | In recent years, cyber-violence against social media users have grown significantly, causing serious consequences to victims of all demographics, which was the reason why researches took this problem seriously. In this work we present machine learning models that can predict cyber-violence in social media, while demonstrating how big five personality traits are associated to the harmful behaviour online. We use a set of ensemble learning algorithms with engineered features related to the vocabulary used in each Big Five personality trait namely, Agreeableness, Conscientiousness, Extraversion, Neuroticism and Openness. The Results show a significant association between the individuals’ personality and the harmful intention. This result can be a good indicator of online users’ susceptibility to cyber-violence and therefore can help in dealing with it. |
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Big Five Personality Traits and Ensemble Machine Learning / Fahim Maryam
