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Entropy synonym3/5/2023 ![]() ![]() In contrast, mental health demand has increased due to lockdown of affected areas as a prevention measure. Our method improves the detection rate of depression symptoms from online forum text using the unlabeled forum texts.Īccording to a new World Health Organization (WHO) survey, the COVID-19 pandemic has disrupted mental health services in 93% of countries worldwide 1. The learned embedding is then used to visualize the activated word's contribution to each symptom and find the psychiatrist's qualitative agreement. The bidirectional Long Short-Term Memory (LSTM) architecture with an attention mechanism achieved 0.85 Receiver Operating Characteristic (ROC curve) on the blind test set. ![]() Our in-depth experimental results show that the synonym expansion semantic vectors help enhance training accuracy while not harming the results. The cycle continues until it reaches an optimal solution, and it converts all the unlabeled text into the training set. Our method updates model training by using the new training points. The proposed method separates unlabeled text and includes it in the next active learning mechanism cycle. The resulting similarity metrics help to select the subset of unlabeled text by using semantic information. Semantic vectors based on semantic information derived from the context in which it appears are clustered. For this purpose, we propose a method based on synonym expansion by semantic vectors. The objective of this research is to increase the trainable instances using a semantic clustering mechanism. This paper focuses on the application of personalized mental health interventions using Natural Language Processing (NLP) and attention-based in-depth entropy active learning. Other known issues include vocabulary sizes per class, data source, method of creation, and baseline for the human performance level. In medical applications, it is challenging to successfully refine such datasets since emotion-aware labeling is time consuming. To create a usable learning application for IDPT requires diverse labeled datasets containing an adequate set of linguistic properties to extract word representations and segmentations of emotions. IDPT becomes complicated and labor intensive because of overlapping emotion in mental health. ![]() With the increasing prevalence of Internet usage, Internet-Delivered Psychological Treatment (IDPT) has become a valuable tool to develop improved treatments of mental disorders. 3Research Centre for Interneural Computing, China Medical University, Taichung, Taiwan.2Department of Mathematics and Computer Science, Brandon University, Brandon, MB, Canada.1Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway.Usman Ahmed 1, Suresh Kumar Mukhiya 1, Gautam Srivastava 2,3, Yngve Lamo 1 and Jerry Chun-Wei Lin 1 * ![]()
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