Z Zhang, J Yang - Proceedings of the 30th ACM International …, 2022 - dl.acm.org
Video sentiment analysis aims to uncover the underlying attitudes of viewers, which has a wide range of applications in real world. Existing works simply classify a video into a single …
Y Chen, W Ji - International Journal of Disaster Risk Reduction, 2021 - Elsevier
Following disasters, public demand urgency is an essential element for equitable infrastructure restoration planning. However, public demand urgency has yet been well …
Z Xu, Y Dang, Q Wang - Expert Systems with Applications, 2022 - Elsevier
Understanding the purchase likelihood of potential buyers is an important prerequisite for marketers to carry out targeted marketing. Massive authentic and personalized user …
S Faralli, S Rittinghaus, N Samsami, D Distante… - Information Processing …, 2021 - Elsevier
We present a novel framework to predict the success of Kickstarter campaigns based on the emotional intensity induced by domain specific aspects. The framework enables to …
Abstract Convolutional Neural Network (CNN) has gained considerable attention in many Natural Language Processing applications including sentiment analysis task. A typical CNN …
Social media has become a primary source of information for decision-makers, organizations, and scientists in today's fast-paced world. Indeed, because of the large …
Sentiment analysis is the process of analyzing a person's perception or belief about a particular subject matter. However, finding correct opinion or interest from multi-facet …
This empirical thesis analyses the impact of sentiments in online media on consumers, businesses, and society as a whole, with a special focus on the research of new, robust …
JM Trejo, JPP Karam, AV Elorza - Contaduría y administración, 2024 - dialnet.unirioja.es
Purpose. The paper aims to explain a proposal framework composed of social media advertising value (SMAV) and self-efficacy (SEF) constructs with complementary factors …