Factors influencing initial public acceptance of integrating the ChatGPT-type model with government services

L Yang, J Wang - Kybernetes, 2023 - emerald.com
Purpose Integrating the Chat Generative Pre-Trained Transformer-type (ChatGPT-type)
model with government services has great development prospects. Applying this model …

Vulnerability of sustainable markets to fossil energy shocks

Y Li, X Ren, F Taghizadeh-Hesary - Resources Policy, 2023 - Elsevier
From a market efficiency perspective, this study investigates the performance of sustainable
markets under oil price shocks, including green bonds, clean energy, and carbon futures …

[HTML][HTML] Are clean energy markets efficient? A multifractal scaling and herding behavior analysis of clean and renewable energy markets before and during the …

BA Memon, F Aslam, S Asadova, P Ferreira - Heliyon, 2023 - cell.com
The literature lacks thorough and adequate evidence of the efficiency and herding behavior
of clean and renewable energy markets. Therefore, the key objective of this paper is to …

Unveiling Cryptocurrency Conversations: Insights From Data Mining and Unsupervised Learning Across Multiple Platforms

HS Jung, H Lee, JH Kim - IEEE Access, 2023 - ieeexplore.ieee.org
The rapid growth of the cryptocurrency market has led to an increasing interest in the
subject. Cryptocurrency is now recognized as an asset, and laws and financial regulations …

Exploring the relationship between Chinese crude oil futures market efficiency and market micro characteristics

B Zhu, C Tian, P Wang - Energy Economics, 2024 - Elsevier
This paper uses daily frequency data spanning from March 26, 2018 to February 3, 2023,
and combines the exponential generalized autoregressive conditional heteroskedasticity in …

Machine Learning Based Prediction of Stock Exchange on NASDAQ 100: A Twitter Mining Approach

S Harguem, Z Chabani, S Noaman… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
Twitter is a popular social media network. Its impact on our daily life is increasing day by
day. Twitter is not only used for current affairs but also for showing its significance in …

Choosing the Number of Topics in LDA Models–A Monte Carlo Comparison of Selection Criteria

V Bystrov, V Naboka-Krell… - Journal of Machine …, 2024 - jmlr.org
Selecting the number of topics in Latent Dirichlet Allocation (LDA) models is considered to
be a difficult task, for which various approaches have been proposed. In this paper the …

A data-driven model to construct the influential factors of online product satisfaction

Q Shao, HW Lo, JJH Liou, GH Tzeng - International Journal of …, 2023 - World Scientific
Online shopping is becoming more prevalent, with consumers turning to e-commerce
platforms to search for information about the goods and services they need. Users will …

Inflation and the war in Ukraine: Evidence using impulse response functions on economic indicators and Twitter sentiment

E Polyzos - Research in International Business and Finance, 2023 - Elsevier
In this paper, we propose the use of social media information as a real-time decision-making
tool for significant war events, using the war in Ukraine as a case study. We proxy the …

Navigating the tides of change: The local dynamics of China's marine economic policy

C Sun, Z Yang, Y Yang - Marine Policy, 2024 - Elsevier
Local governments are playing a key role in policy formulation and implementation because
of the shifting tide during China's marine economic expansion. This study employs all …