Big data in forecasting research: a literature review

L Tang, J Li, H Du, L Li, J Wu, S Wang - Big Data Research, 2022 - Elsevier
With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …

How is extraversion related to social media use? A literature review

T Bowden-Green, J Hinds, A Joinson - Personality and Individual …, 2020 - Elsevier
With nearly 3.5 billion people now using some form of social media, understanding its
relationship with personality has become a crucial focus of psychological research. As such …

User OCEAN personality model construction method using a BP neural network

X Qin, Z Liu, Y Liu, S Liu, B Yang, L Yin, M Liu… - Electronics, 2022 - mdpi.com
Highlights What are the main findings? First, the combination of the methods of machine
learning with psychological methods to predict the user's OCEAN personality model could …

Detection of depression-related posts in reddit social media forum

MM Tadesse, H Lin, B Xu, L Yang - Ieee Access, 2019 - ieeexplore.ieee.org
Depression is viewed as the largest contributor to global disability and a major reason for
suicide. It has an impact on the language usage reflected in the written text. The key …

A survey on personality-aware recommendation systems

S Dhelim, N Aung, MA Bouras, H Ning… - Artificial Intelligence …, 2022 - Springer
With the emergence of personality computing as a new research field related to artificial
intelligence and personality psychology, we have witnessed an unprecedented proliferation …

Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging

H Christian, D Suhartono, A Chowanda, KZ Zamli - Journal of Big Data, 2021 - Springer
The ever-increasing social media users has dramatically contributed to significant growth as
far as the volume of online information is concerned. Often, the contents that these users put …

An emotional recommender system for music

V Moscato, A Picariello, G Sperli - IEEE Intelligent Systems, 2020 - ieeexplore.ieee.org
Nowadays, recommender systems have become essential to users for finding “what they
need” within large collections of items. Meanwhile, recent studies have demonstrated as …

Getting personal: A deep learning artifact for text-based measurement of personality

K Yang, RYK Lau, A Abbasi - Information Systems Research, 2023 - pubsonline.informs.org
Analysts, managers, and policymakers are interested in predictive analytics capable of
offering better foresight. It is generally accepted that in forecasting scenarios involving …

The role of facilitating conditions and user habits: a case of Indonesian online learning platform

R Ambarwati, YD Harja, S Thamrin - The Journal of Asian Finance …, 2020 - koreascience.kr
The study examines the role of facilitating conditions and user habits in the use of
technology in Online Learning Platform (OLP) in Indonesia. The adoption of online learning …

SMOTETomek-based resampling for personality recognition

ZHE Wang, C Wu, K Zheng, X Niu, X Wang - IEEE access, 2019 - ieeexplore.ieee.org
The main challenge of user personality recognition is low accuracy resulting from small
sample size and severe sample distribution imbalance. This paper analyzes the impact of …