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 …
introduced into forecasting research, bringing new knowledge and improving prediction …
How is extraversion related to social media use? A literature review
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 …
relationship with personality has become a crucial focus of psychological research. As such …
User OCEAN personality model construction method using a BP neural network
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 …
learning with psychological methods to predict the user's OCEAN personality model could …
Detection of depression-related posts in reddit social media forum
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 …
suicide. It has an impact on the language usage reflected in the written text. The key …
A survey on personality-aware recommendation systems
With the emergence of personality computing as a new research field related to artificial
intelligence and personality psychology, we have witnessed an unprecedented proliferation …
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
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 …
far as the volume of online information is concerned. Often, the contents that these users put …
An emotional recommender system for music
Nowadays, recommender systems have become essential to users for finding “what they
need” within large collections of items. Meanwhile, recent studies have demonstrated as …
need” within large collections of items. Meanwhile, recent studies have demonstrated as …
Getting personal: A deep learning artifact for text-based measurement of personality
Analysts, managers, and policymakers are interested in predictive analytics capable of
offering better foresight. It is generally accepted that in forecasting scenarios involving …
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 …
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 …
sample size and severe sample distribution imbalance. This paper analyzes the impact of …