PLMINDS: The development of web application top analyse the factors affecting the mental health of PLM students using natural language processing

By: Sofia Angelica S. Javier. Alysa L. Mangilaya, Janella Denise P. Navarro
Language: English Manila: PLM, c2016Description: Undergraduate Thesis: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2023Content type: text Media type: unmediated Carrier type: volumeGenre/Form: academic writingDDC classification: . LOC classification: T58 J38 2023
Contents:
ABSTRACT: Mental health is included as one of the priorities in the sustainable development goals by the United Nations Development Programme. In promoting child and adolescent mental health , implementing school-based programs is among of the several ways to achieve child and adolescent mental health. Using survey responses, the study analyzed factors concerning post-pandemic learning capabilities and its mental health effect towards university students using Natural Language Processing LDA Topic Modeling. The study had generated five LDA models, each having different themes in relation to online learning set-up. 1) Environmental Aspects, 2) Workload Capacity, 3) Physical Health, 4) Motivational Drive, 5) Socioeconomic status. Based on coherence score, model 1,3,4,5 resulted to an optional topic of 20 while model 2 resulted to an optimal topic of 15. Each topic has been reviewed by an expert concerning mental health. ISO 25010 standards were used to evaluate the working website.
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Item type Current location Home library Collection Call number Status Date due Barcode Item holds
Thesis/Dissertation PLM
PLM
Filipiniana Section 		Filipiniana-Thesis T58 J38 2023 (Browse shelf) Available FT7696
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ABSTRACT: Mental health is included as one of the priorities in the sustainable development goals by the United Nations Development Programme. In promoting child and adolescent mental health , implementing school-based programs is among of the several ways to achieve child and adolescent mental health. Using survey responses, the study analyzed factors concerning post-pandemic learning capabilities and its mental health effect towards university students using Natural Language Processing LDA Topic Modeling. The study had generated five LDA models, each having different themes in relation to online learning set-up. 1) Environmental Aspects, 2) Workload Capacity, 3) Physical Health, 4) Motivational Drive, 5) Socioeconomic status. Based on coherence score, model 1,3,4,5 resulted to an optional topic of 20 while model 2 resulted to an optimal topic of 15. Each topic has been reviewed by an expert concerning mental health. ISO 25010 standards were used to evaluate the working website.

Filipiniana

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