کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4960493 1446499 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Personality Prediction System from Facebook Users
ترجمه فارسی عنوان
سیستم پیش بینی شخصیت از کاربران فیس بوک
کلمات کلیدی
پیش بینی شخصیت، پنج شخصیت اصلی مدل، فیس بوک، فراگیری ماشین، یادگیری عمیق،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
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%.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 116, 2017, Pages 604-611
نویسندگان
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