IJFANS International Journal of Food and Nutritional Sciences
ISSN PRINT 2319 1775 Online 2320-7876
-
Efficacy of Withania somnifera against oxidative stress in male Drosophila melanogaster.
Volume 13 | Issue 4
-
Intervention Study On Cognitive Development Among School Children Of Siddi Tribe
Volume 13 | Issue 4
-
ASSESSMENT OF INTRA AND INTER- EXAMINER RELIABILITY FOR PROPOSED SCALE OF MASTICATION IN CHILDREN– A PRELIMINARY STUDY
Volume 13 | Issue 4
-
AI-DRIVEN APPROACH FOR MULTI CROP DISEASE CLASSIFICATION WITH PESTICIDE RECOMMENDATION SYSTEM
Volume 13 | Issue 4
-
AI-based Detecting Deception In Online Interactions: An Analysis of Dishonest Internet Users for Advances In Online Security
Volume 13 | Issue 4
Detecting Suicidal Content on Social Media Using Machine Learning
Main Article Content
Abstract
-Individuals who suffer from suicidal ideation frequently express their views and ideas on social media. Thus, several studies found that people who are contemplating suicide can be identified by analyzing social media posts.
