Title: Novel approach for depression detection on Reddit post

Authors: Tushtee Varshney; Sonam Gupta; Lipika Goel; Ishaan Saxena; Arjun Singh; Arun Kumar Yadav; Pradeep Gupta

Addresses: Department of Computer Science and Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, 201009, India ' Department of Computer Science and Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, 201009, India ' Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, 500090, India ' Department of Computer Science and Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, 201009, India ' School of Computing and Information Technology, Manipal University Jaipur, Jaipur, 303007, India ' Department of Computer Science and Engineering, National Institute of Technology, Hamirpur, 177005, India ' Department of Computer Science and Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, 201009, India

Abstract: Psychotic disorder is one of the major health problems found in humans. Mostly every age group of the population is affected by a psychotic disorder called depression. Depression causes a person with low mood and loss of interest, ideal in working time, and irregularities in sleep and eating habits. The analysis of emotional feelings behind the text is detected by machine learning technology called sentimental analysis or psychological analysis. In this study, we took Reddit as the social platform to collect datasets and studied to know the hidden behaviour of the individual using machine learning algorithm logistic regression, naive Bayes Decision Tree, XGBoost, and deep learning classifier CNN, maximum entropy. The classifiers are first studied individually on the dataset, then the proposed model is created using the classifier logistic regression, multilayer perceptron, and XGBoost with an accuracy of approximately 93% and precision of 95%.

Keywords: machine learning; depression; XGBoost; Reddit; multilayer perceptron; logistic regression; psychotic disorder; deep learning.

DOI: 10.1504/IJDATS.2024.142486

International Journal of Data Analysis Techniques and Strategies, 2024 Vol.16 No.4, pp.367 - 385

Received: 05 Feb 2023
Accepted: 19 Nov 2023
Published online: 04 Nov 2024 *

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