SCRS Proceedings of International Conference of Undergraduate Students 2023
Comparative Performance Analysis of Various Techniques for Psychiatric Evaluation of Social Media
Authors: Alwinder Singh, Jodhwinder Singh, Rashmi Chaudhary and Prashant Singh Rana
Publishing Date: 11-10-2023
ISBN: 978-81-955020-4-2
Abstract
This research study aimed to enhance the precision and efficacy of identifying the underlying reasons for mental health issues by analyzing social media content. The study was conducted on the CAMS dataset, comprising 3155 Reddit posts, and a reannotated SDCNL dataset with 1896 instances to align with the domain of interest. The study employed advanced machine learning techniques and popular deep learning architectures to determine the optimal model for the problem statement. The performance of several models was evaluated, and it was found that the combination of CNN and LSTM (ConvLSTM) architecture yielded the most accurate results, with a precision of 53\%. ConvLSTM incorporates spatial and temporal information by using convolutional layers to extract features from the input data, followed by LSTM layers to capture the temporal dependencies within the data. This makes ConvLSTM particularly suitable for processing sequential data, such as natural language text and has been shown to achieve better performance than using CNN or LSTM alone. These findings indicate the potential of leveraging machine learning techniques and deep learning architectures to improve the detection and understanding of mental health issues through social media analysis. The study demonstrates the potential of machine learning techniques and deep learning architectures to identify the underlying reasons for mental health issues by analyzing social media content. The findings highlight the importance of using these techniques for mental health research and the potential for future research. The study's findings significantly impact the development of interventions and treatments for mental health issues.
Keywords
Psychiatric Evaluation, Social Media, LSTM, CNN
Cite as
Alwinder Singh, Jodhwinder Singh, Rashmi Chaudhary and Prashant Singh Rana, "Comparative Performance Analysis of Various Techniques for Psychiatric Evaluation of Social Media", In: Deepak Bhatia and Himanshu Arora (eds), SCRS Proceedings of International Conference of Undergraduate Students 2023, SCRS, India, 2023, pp. 7-24. https://doi.org/10.56155/978-81-955020-4-2-2