Product attribute and heterogeneous sentiment analysis-based evaluation to support online personalized consumption decisions

Z Yang, Q Li, N Islam, C Han… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To effectively address challenges that stem from e-commerce, it is crucial to harness diverse
review data from e-commerce platforms. These data support consumers in making informed …

Ai-enabled system for efficient and effective cyber incident detection and response in cloud environments

MAM Farzaan, MC Ghanem, A El-Hajjar… - ar** Intensity, and Revisit Likelihood in Data Breaches
JN Angelis, RS Murthy - 2024 Portland International …, 2024 - ieeexplore.ieee.org
Data thefts have increased in frequency and cause a loss of customer trust and business.
Previous research has studied how the public assigns blame for the crime, and how this …

Multimodal Emotion Prediction in Conversations via Conditional Variational Generating Network and Uncertainty learning

Y Li, Q Li, J Yan, H Hu, Y Wang - 2024 IEEE 17th International …, 2024 - ieeexplore.ieee.org
Multimodal emotion prediction in conversations keeps being a challenging subject in
artificial intelligence which aims to forecast the emotion type of the following dialogue before …

Impact of AI-Driven Digital Marketing on Data Privacy and Consumer Behavior: An SEM Study.

A Anjum - IUP Journal of Marketing Management, 2024 - search.ebscohost.com
AI-driven digital marketing has yielded both opportunities and obstacles, leading to its
impact on consumer data privacy. While consumer data aids marketers in creating effective …