000			01893nam a2200265Ia 4500
001			88985
003			ft7696
005			20251020144748.0
008			230718n 000 0 eng d
040			_erda
041			_aengtag
050			_aT58 J38 2023
082			_a.
100			_aSofia Angelica S. Javier. Alysa L. Mangilaya, Janella Denise P. Navarro.
245		0	_aPLMINDS: The development of web application top analyse the factors affecting the mental health of PLM students using natural language processing
264			_aManila: _bPLM, _cc2016
300			_bUndergraduate Thesis: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2023.
336			_btext _atext _2text
337			_bunmediated _aunmediated _2unmediated
338			_bvolume _avolume _2volume
505			_aABSTRACT: 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.
526			_aF
655			_aacademic writing
942			_cMS _01 _2lcc
999			_c25719 _d25719