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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Harnessing Machine Learning for Mental Health: A Study on Classifying Depression-Related Social Media Posts Subject The topic of the resource Classification Models; Depression; Mental Health; Social Media Posts Description An account of the resource This study is of particular relevance in the way it identifies depression-related content on social media using a machine learning model to classify posts and comments. This dataset, encompassing around 6500 entries from various platforms including Facebook, was rigorously annotated by four proficient English-speaking undergraduate students together with the final label which is established via majority voting. Data Preprocessing, initial cleaning, normalization and TF-IDF feature creation through vectorization for the output of POS tags. The different machine learning models that were trained and tested are Logistic Regression, Random Forest, SVM (Support Vector Machine), Naive Bayes Gradient Boosting Algorithm K-NN (K nearest Neighbors) AdaBoost Decision Tree. Authors evaluated the models and measured their accuracy, precision score, recall rate (also known as sensitivity) in addition to F1-score. Gradient Boost, Random Forest, and SVM were top performers among which Gradient boosting was found to be an overall best one with almost 98.5%. They show that machine learning model can successfully predict the label of social media posts, as a way for accurately identifying depression from text data. This detailed model performance evaluation is useful in understanding what each approach does well and poorly, shedding light into whether they are / would be actually suitable for real-world applications. This study not only developed discriminative classifiers, but also included detailed analysis of their performance which should hopefully guide future work and help in practical implementations for real-time mental health monitoring. Through this work, this study aim to facilitate timely identification of depression-related posts, ultimately supporting mental health awareness and intervention efforts on social media platforms. 2024 IEEE. Creator An entity primarily responsible for making the resource Varalakshmi C.; Christina S.; Lakshmi M.B.; Parthiban R.; Basha M.S.A.; Sucharitha M.M. Source A related resource from which the described resource is derived Proceedings of NKCon 2024 - 3rd Edition of IEEE NKSS's Flagship International Conference: Digital Transformation: Unleashing the Power of Information Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/NKCon62728.2024.10775133" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/NKCon62728.2024.10775133</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215267566&amp;doi=10.1109%2FNKCon62728.2024.10775133&amp;partnerID=40&amp;md5=40454881d15f309d4f58ff19132f489e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215267566&amp;doi=10.1109%2fNKCon62728.2024.10775133&amp;partnerID=40&amp;md5=40454881d15f309d4f58ff19132f489e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036456-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Varalakshmi C., Andhra Loyola College, Department of Mba, Andhra Pradesh, Vijayawada, India; Christina S., Christ (Deemed to Be University), Department of Professional Studies, Bengaluru, India; Lakshmi M.B., Christ (Deemed to Be University), Department of Professional Studies, Bengaluru, India; Parthiban R., Christ (Deemed to Be University), Department of Professional Studies, Bengaluru, India; Basha M.S.A., Gitam (Deemed to Be University), Gitam School of Business, Bengaluru, India; Sucharitha M.M., Christ (Deemed to Be University), Department of Professional Studies, Bengaluru, India