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Data Technologies and Applications, Volume 59
Volume 59, Number 1, 2025
- Meiwen Li, Liye Xia, Qingtao Wu, Lin Wang, Junlong Zhu, Mingchuan Zhang:
MD-LDA: a supervised LDA topic model for identifying mechanism of disease in TCM. 1-18 - Hyogon Kim, Eunmi Lee, Donghee Yoo:
Assessing the alignment of corporate ESG disclosures with the UN sustainable development goals: a BERT-based text analysis. 19-40 - Jaekyeong Kim, Pil-Sik Chang, Sung-Byung Yang, Ilyoung Choi, Byunghyun Lee:
A comparative analysis of job satisfaction prediction models using machine learning: a mixed-method approach. 41-60 - Chia-Yu Hung, Eddie Jeng, Li Chen Cheng:
Analysis of CEO career patterns using machine learning: taking US university graduates as an example. 61-81 - Chih-Ming Chen, Barbara Witt, Chun-Yu Lin:
A knowledge graph analysis tool of people and organizations to facilitate digital humanities research. 82-110 - Cheng-Hsiung Weng, Cheng-Kui Huang:
Novel framework for learning performance prediction using pattern identification and deep learning. 111-133 - João Pavão, Rute Bastardo, Nelson Pacheco da Rocha:
A systematic review of the use of FHIR to support clinical research, public health and medical education. 134-154 - Andry Alamsyah, Fadiah Nadhila, Nabila Kalvina Izumi:
Understanding customer behavior by mapping complaints to personality based on social media textual data. 155-179 - Bernardo Cerqueira de Lima, Renata Maria Abrantes Baracho, Thomas Mandl, Patricia Baracho Porto:
Optimized discovery of discourse topics in social media: science communication about COVID-19 in Brazil. 180-198
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