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MLA

Radwan, Ahmad, et al. "Predictive Analytics in Mental Health Leveraging LLM Embeddings and Machine Learning Models for Social Media Analysis." IJWSR vol.21, no.1 2024: pp.1-22. http://doi.org/10.4018/IJWSR.338222

APA

Radwan, A., Amarneh, M., Alawneh, H., Ashqar, H. I., AlSobeh, A., & Magableh, A. A. (2024). Predictive Analytics in Mental Health Leveraging LLM Embeddings and Machine Learning Models for Social Media Analysis. International Journal of Web Services Research (IJWSR), 21(1), 1-22. http://doi.org/10.4018/IJWSR.338222

Chicago

Radwan, Ahmad, et al. "Predictive Analytics in Mental Health Leveraging LLM Embeddings and Machine Learning Models for Social Media Analysis," International Journal of Web Services Research (IJWSR) 21, no.1: 1-22. http://doi.org/10.4018/IJWSR.338222

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Predictive Analytics in Mental Health Leveraging LLM Embeddings and Machine Learning Models for Social Media Analysis

International Journal of Web Services Research (IJWSR)

The International Journal of Web Services Research (IJWSR) is the first refereed, international publication featuring the latest research findings and industry solutions involving all aspects of Web services technology. This journal covers advancements, standards, and practices of Web services, as well as identifies emerging research topics and defines the future of Web services on grid computing, multimedia, and communication. IJWSR provides an open, formal publication for high quality articles developed by theoreticians, educators, developers, researchers, and practitioners for those desiring to stay abreast of challenges in Web services technology.


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