Zhang, Tianlin

Natural language processing applied to mental illness detection: a narrative review

Zhang, T., Schoene, A. M., Ji, S., & Ananiadou, S. (2022) · npj Digital Medicine

Mental Health via WritingSentiment Analysis and Opinion Mining

Cited by 476

MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare

Ji, S., Zhang, T., Ansari, L., Fu, J., Tiwari, P., & Cambria, E. (2022) · Proceedings of the Language Resources and Evaluation Conference

Mental Health via WritingSentiment Analysis and Opinion Mining

Cited by 233

Towards Interpretable Mental Health Analysis with Large Language Models

Yang, K., Ji, S., Zhang, T., Xie, Q., Kuang, Z., & Ananiadou, S. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Mental Health via WritingExplainable Artificial Intelligence (XAI)

Cited by 155

FinBen: A Holistic Financial Benchmark for Large Language Models

Xie, Q., Han, W., Chen, Z., Xiang, R., Zhang, X., He, Y., Xiao, M., Li, D., Dai, Y., Feng, D., et al. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingFinTech, Crowdfunding, Digital Finance

Cited by 102

Using Deep Data Augmentation Training to Address Software and Hardware Heterogeneities in Wearable and Smartphone Sensing Devices

Mathur, A., Zhang, T., Bhattacharya, S., Velickovic, P., Joffe, L., Lane, N. D., Kawsar, F., & Lio, P. (2018) · 2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

Context-Aware Activity Recognition SystemsMobile Crowdsensing and Crowdsourcing

Cited by 70

Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health

Ji, S., Zhang, T., Yang, K., Ananiadou, S., Cambria, E., & Tiedemann, J. (2023) · arXiv

Mental Health via WritingTopic Modeling

Cited by 16