Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Rajendran, Rajesh Kanna; Kokila, S.S.; Joy, Helen K.; Varghese, Nisha; Sridevi, R.; Cynthia, T.; Blessing, N. R. Wilfred; Ananth, K. J. Paulraj Title A name given to the resource Leveraging social media and natural language processing for early detection of depressive disorders Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Demystifying the Role of Natural Language Processing (NLP) in Mental Health;pp.199-219 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-4203-9.ch011" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-4203-9.ch011</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105002361127?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002361127?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajendran R.K., Christ University, India; Kokila S.S., Vellalar Collge for Women, India; Joy H.K., Christ University, India; Varghese N., Christ University, India; Sridevi R., Christ University, India; Cynthia T., Christ University, India; Blessing N.R.W., University of Technology and Applied Sciences, Ibri, Oman; Ananth K.J.P., SKP Arts and Science College, India Description An account of the resource Depression is a prevalent mental health disorder impacting over 280 million people worldwide, according to recent World Health Organization (WHO) estimates. It poses a substantial burden on individuals and societies, emphasizing the need for early detection and timely intervention. Despite the availability of treatment options, many affected individuals do not seek professional help due to barriers such as stigma, lack of awareness, and insufficient access to mental health services. With the widespread adoption of social media, people increasingly share their thoughts, feelings, and daily experiences online, providing an abundant source of user-generated content. This information can be harnessed to detect early signs of depression. In recent years, advancements in Natural Language Processing (NLP) and Machine Learning (ML) have paved the way for innovative approaches to analyzing social media data for mental health insights. By processing text-based content from platforms such as Twitter, Facebook, and Reddit, NLP techniques can identify linguistic patterns. 2025 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836934204-6; 979-836934203-9; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online