E K Park
Biographic Data
| ID | 9111479 |
|---|---|
| NAME | E K Park |
| GIVEN NAMES | E K |
| FAMILY NAME | Park |
| SIGNATURE | PARK E K |
| AFFILIATIONS | Universitat Jaume I |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Integrating visual and textual features for predicting outcomes in secondhand marketplaces
This study presents a multimodal deep learning-based prediction model tailored to the unique transaction dynamics of secondhand trading, aimed at enhancing user experience and transaction success rates on secondhand trading platforms. The model integrates multiple factors central to these transactions – including product images, post descriptions, seller transaction history, and the number of favourites – through an early fusion approach that com…
Charging Ahead? Unveiling Public Perception of Alternative Sustainable Fuel Vehicles
Climate change mitigation efforts underscore the pivotal role of Alternative Fuel Vehicles (AFVs) in reducing transportation emissions. This study investigates online discourse patterns regarding AFVs in South Korea using YouTube comments data from 2010 to 2024. By applying Keyword Co‐occurrence Network and sentiment analysis, we examine public opinions and emotional responses over time. This study analyzes the structure and evolution of AFV‐rela…
No prominent works on this page.
Integrating visual and textual features for predicting outcomes in secondhand marketplaces
This study presents a multimodal deep learning-based prediction model tailored to the unique transaction dynamics of secondhand trading, aimed at enhancing user experience and transaction success rates on secondhand trading platforms. The model integrates multiple factors central to these transactions – including product images, post descriptions, seller transaction history, and the number of favourites – through an early fusion approach that com…
Charging Ahead? Unveiling Public Perception of Alternative Sustainable Fuel Vehicles
Climate change mitigation efforts underscore the pivotal role of Alternative Fuel Vehicles (AFVs) in reducing transportation emissions. This study investigates online discourse patterns regarding AFVs in South Korea using YouTube comments data from 2010 to 2024. By applying Keyword Co‐occurrence Network and sentiment analysis, we examine public opinions and emotional responses over time. This study analyzes the structure and evolution of AFV‐rela…
Alternative fuel vehicle (1 work) · Computational and Text Analysis Methods (1 work) · Customer churn and segmentation (1 work) · Data collection (1 work) · Electric Vehicles and Infrastructure (1 work) · Empirical evidence (1 work) · Energy, Environment, and Transportation Policies (1 work) · Feature (linguistics) (1 work) · Focus (optics) (1 work) · Identification (biology) (1 work)