Unveiling consumer preferences in automotive reviews through aspect-based opinion generation

Y Liu, J Shi, F Huang, J Hou, C Zhang - Journal of Retailing and Consumer …, 2024 - Elsevier
Unveiling consumer preferences in online reviews is receiving increasing attention. While
most existing approaches for consumer preferences have achieved significant …

Generalizing factors of COVID-19 vaccine attitudes in different regions: A summary generation and topic modeling approach

Y Liu, J Shi, C Zhao, C Zhang - Digital Health, 2023 - journals.sagepub.com
Objective The goal of this study is to use summary generation and topic modeling to identify
factors contributing to vaccine attitudes for three different vaccine brands, with the aim of …

Sarcasm detection in hotel reviews: a multimodal deep learning approach

Y Liu, M Chi, Q Sun - Journal of Hospitality and Tourism Technology, 2024 - emerald.com
Purpose This study aims to detect consumer sarcasm through inconsistencies in sentiment
features between text and images of hotel reviews. Design/methodology/approach This …

Assessing the helpfulness of hotel reviews for information overload: A multi-view spatial feature approach

Y Liu, X Ding, M Chi, J Wu, L Ma - Information Technology & Tourism, 2024 - Springer
Consumer perceptions of helpfulness remain an open question due to the lack of semantic
and spatial features of review content. This paper aims to explore three aspects of the …

Depression detection via a Chinese social media platform: a novel causal relation-aware deep learning approach

Y Liu - The Journal of Supercomputing, 2024 - Springer
Depression detection on social media aims to analyze users' tendency to depression and
provide help for the early detection of depressed users. However, most previous research …

Understanding COVID-19 vaccine hesitancy of different regions in the post-epidemic era: A causality deep learning approach

Y Liu, C Zhao, C Zhang - Digital Health, 2024 - journals.sagepub.com
Objective This paper aims to understand vaccine hesitancy in the post-epidemic era by
analyzing texts related to vaccine reviews and public attitudes toward three prominent …

Injecting new insights: How do review sentiment and rating inconsistency shape the helpfulness of airline reviews?

Y Liu, L Ma, Y Dou, Z Zhu, L Ma, Z Liu - Information Processing & …, 2025 - Elsevier
Evaluating review helpfulness is pivotal in assessing the caliber of airline reviews,
instigating lively debates in both academic and practical spheres. This study endeavors to …

Capturing and analyzing e-WOM for travel products: A method based on sentiment analysis and stochastic dominance

YH Li, J Zheng, ST Yue, ZP Fan - Kybernetes, 2021 - emerald.com
Purpose In recent years, electronic word-of-mouth (e-WOM) concerning travel products
reflected in online review information has become an important reference for tourists to …

Depression clinical detection model based on social media: a federated deep learning approach

Y Liu - The Journal of Supercomputing, 2024 - Springer
Depression can significantly impact people's mental health, and recent research shows that
social media can provide decision-making support for health-care professionals and serve …

Stock movement prediction in a hotel with multimodality and spatio-temporal features during the Covid-19 pandemic

Y Liu, L Ma - Heliyon, 2024 - cell.com
The COVID-19 pandemic has underscored the importance of accurate stock prediction in the
tourism industry, particularly for hotels. Despite the growing interest in leveraging consumer …