Exploring public attention about green consumption on Sina Weibo: Using text mining and deep learning

H Huang, R Long, H Chen, K Sun, Q Li - Sustainable Production and …, 2022 - Elsevier
Achieving the goal of carbon neutrality and carbon peak as scheduled puts forward new
demands for the green transition of low-carbon lifestyle in Chinese society. In-depth practice …

AI-enabled marketing solutions in Marketing Decision making: AI application in different stages of marketing process

N Ljepava - Tem Journal, 2022 - ceeol.com
The digital transformation led by disruptive technologies can help organizations address
numerous challenges and deliver better customer value through innovative technologies in …

AI-driven marketing: Transforming sales processes for success in the digital age

KK Sharma, M Tomar, A Tadimarri - Journal of Knowledge Learning and …, 2023 - jklst.org
In the era of digital transformation driven by disruptive technologies, organizations are
striving to overcome challenges and enhance customer value through innovative solutions …

Exploring the motivations and obstacles of the public's garbage classification participation: evidence from Sina Weibo

W Wu, M Zhang - Journal of material cycles and waste management, 2023 - Springer
China has been implementing garbage classification to improve resource recycling for many
years. Since garbage classification is essentially a social activity, it needs the active …

Survey of machine learning techniques for Arabic fake news detection

I Touahri, A Mazroui - Artificial Intelligence Review, 2024 - Springer
Social media platforms have emerged as primary information sources, offering easy access
to a wide audience. Consequently, a significant portion of the global population relies on …

Green housing on social media in China: A text mining analysis

C Shen, P Li - Building and Environment, 2023 - Elsevier
Reducing carbon emissions and promoting energy efficiency are imperative to the
harmonious coexistence between humans and nature. Green buildings can help minimize …

A Review on Text Sentiment Analysis With Machine Learning and Deep Learning Techniques

Y Mamani-Coaquira, E Villanueva - IEEE Access, 2024 - ieeexplore.ieee.org
Automating sentiment analysis in texts has become an important task in recent years due to
the exponential growth of user-generated content, including comments and opinions on …

Stance detection based on user feature fusion

W Huang, Y Wang, J Yang, Y Xu - Computational Intelligence …, 2022 - Wiley Online Library
Rapid development of the Internet has contributed to the widespread adoption of social
network platforms. Network media plays an important role in the process of public opinion …

[PDF][PDF] Examining public perceptions of UK rail strikes: A text analytics approach using Twitter data

K Dong, YK Tse - Inf. Dyn. Appl, 2023 - library.acadlore.com
Social media, particularly Twitter, has emerged as a vital platform for understanding public
opinion on contemporary issues. This study investigates public attitudes towards UK rail …