کنفرانس بین المللی فناوری اطلاعات و دانش

English

صفحه اصلی / سیزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش

Classification of Personality Traits on Facebook Using Key Phrase Extraction, Language Models and Machine Learning

نویسندگان :

Faezeh Safari¹ Abdolah Chalechale²

1- دانشگاه رازی کرمانشاه 2- دانشگاه رازی کرمانشاه

کلمات کلیدی :

Computational linguistics،machine learning،natural language processing،personality prediction،transfer learning

چکیده :

The study of automated personality trait detection has become increasingly prevalent in the field of affective computing and sentiment analysis. Psycholinguistic databases and linguistic styles are found to have correlations with personality traits. Natural language processing has improved thanks to transfer learning. With pre-trained language models as features, this paper presents a machine learning model that benefits from transfer learning. Compared to state-of-the-art personality prediction models, the proposed method improved accuracy by 26.79%, 35.08 percent, and 38.96% percent on myPersonality dataset.