Ananiadou, Sophia

Using text mining for study identification in systematic reviews: a systematic review of current approaches

O’Mara-Eves, A., Thomas, J., McNaught, J., Miwa, M., & Ananiadou, S. (2015) · Systematic Reviews

Meta-analysis and systematic reviewsComputational and Text Analysis Methods

Cited by 681

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

Applications of text mining within systematic reviews

Thomas, J., McNaught, J., & Ananiadou, S. (2011) · Research Synthesis Methods

Meta-analysis and systematic reviewsComputational and Text Analysis Methods

Cited by 212

Reducing systematic review workload through certainty-based screening

Miwa, M., Thomas, J., O’Mara-Eves, A., & Ananiadou, S. (2014) · Journal of Biomedical Informatics

Meta-analysis and systematic reviewsMachine Learning and Algorithms

Cited by 190

Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error

Bannach-Brown, A., Przybyła, P., Thomas, J., Rice, A. S. C., Ananiadou, S., Liao, J., & Macleod, M. R. (2019) · Systematic Reviews

Meta-analysis and systematic reviewsInformation Retrieval and Search Behavior

Cited by 185

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

Prioritising references for systematic reviews with RobotAnalyst: A user study

Przybyła, P., Brockmeier, A. J., Kontonatsios, G., Le Pogam, M., McNaught, J., von Elm, E., Nolan, K., & Ananiadou, S. (2018) · Research Synthesis Methods

Meta-analysis and systematic reviewsComputational and Text Analysis Methods

Cited by 148

Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods

Christopoulou, F., Tran, T. T., Sahu, S. K., Miwa, M., & Ananiadou, S. (2020) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 113

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

Large Language Models in Mental Health Care: A Scoping Review

Hua, Y., Liu, F., Yang, K., Li, Z., Na, H., Sheu, Y.-H., Zhou, P., Moran, L. V., Ananiadou, S., Clifton, D. A., et al. (2025) · Current Treatment Options in Psychiatry

Artificial Intelligence in Healthcare and EducationDigital Mental Health Interventions

Cited by 92

Improving reference prioritisation with PICO recognition.

Brockmeier, A. J., Ju, M., Przybyła, P., & Ananiadou, S. (2019) · BMC Medical Informatics and Decision Making

Meta-analysis and systematic reviewsBiomedical Text Mining and Ontologies

Cited by 62

Thalia: semantic search engine for biomedical abstracts

Soto, A. J., Przybyła, P., & Ananiadou, S. (2019) · Bioinformatics

Biomedical Text Mining and OntologiesInformation Retrieval and Search Behavior

Cited by 60

ChatGPT as a Factual Inconsistency Evaluator for Text Summarization

Luo, Z., Xie, Q., & Ananiadou, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 53

Large Language Models in Mental Health Care: A Systematic Scoping Review (Preprint)

hua, Y., Liu, F., Yang, K., Li, Z., Sheu, Y.-H., Zhou, P., Moran, L. V., Ananiadou, S., Clifton, D. A., & Beam, A. (2024)

Artificial Intelligence in Healthcare and EducationDigital Mental Health Interventions

Cited by 46

CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization

Luo, Z., Xie, Q., & Ananiadou, S. (2023) · arXiv

Advanced Text Analysis TechniquesTopic Modeling

Cited by 18

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

Self-Tuned Descriptive Document Clustering Using a Predictive Network

Brockmeier, A. J., Mu, T., Ananiadou, S., & Goulermas, J. Y. (2018) · IEEE Transactions on Knowledge and Data Engineering

Advanced Clustering Algorithms ResearchTopic Modeling

Cited by 15

Automation of citation screening in pre-clinical systematic reviews

Liao, J., Ananiadou, S., Currie, L. G., Howard, B. E., Rice, A., Sena, S. E., Thomas, J., Varghese, A., & Macleod, M. R. (2018) · bioRxiv (Cold Spring Harbor Laboratory)

Meta-analysis and systematic reviewsBiomedical Text Mining and Ontologies

Cited by 13

When Agents Trade: Live Multi-Market Trading Benchmark for LLM Agents

Qian, L., Peng, X., Wang, Y., Zhang, V. J., He, H., Smith, H., Han, Y., He, Y., Li, H., Cao, Y., et al. (2025) · arXiv

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 4