دانلود مقاله ISI انگلیسی شماره 157251
ترجمه فارسی عنوان مقاله

سیستم پیش بینی شخصیت از کاربران فیس بوک

عنوان انگلیسی
Personality Prediction System from Facebook Users
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
157251 2017 8 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Procedia Computer Science, Volume 116, 2017, Pages 604-611

ترجمه کلمات کلیدی
پیش بینی شخصیت، پنج شخصیت اصلی مدل، فیس بوک، فراگیری ماشین، یادگیری عمیق،
کلمات کلیدی انگلیسی
personality prediction; big five model personality; facebook; machine learning; deep learning;
پیش نمایش مقاله
پیش نمایش مقاله  سیستم پیش بینی شخصیت از کاربران فیس بوک

چکیده انگلیسی

The use of social networks is increasing rapidly. Various informations are shared widely through social media, i.e. Facebook. Information about users and what they expressed through status updates are such important assets for research in the field of behavioral learning and human personality. Similar researches have been conducted in this field and it grows continually till now. This study attempts to build a system that can predict a person’s personality based on Facebook user information. Personality model used in this research is Big Five Model Personality. While other previous researches used older machine learning algorithm in building their models, this research tries to implement some deep learning architectures to see the comparison by doing comprehensive analysis method through the accuracy result. The results succeeded to outperform the accuracy of previous similar research with the average accuracy of 74.17%.