Management and Plan of Undergraduates’ Mental Health Based on Keyword Extraction

Mental health issues are alarmingly on the rise among undergraduates, which have gradually become the focus of social attention. With the emergence of some abnormal events such as more and more undergraduates’ suspension, and even suicide due to mental health issues, the social attention to undergra...

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Autor principal:	Weifeng Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/88792d9f738b4df3a4435a125f4e1dfb
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spelling	oai:doaj.org-article:88792d9f738b4df3a4435a125f4e1dfb2021-11-08T02:37:03ZManagement and Plan of Undergraduates’ Mental Health Based on Keyword Extraction2040-230910.1155/2021/3361755https://doaj.org/article/88792d9f738b4df3a4435a125f4e1dfb2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/3361755https://doaj.org/toc/2040-2309Mental health issues are alarmingly on the rise among undergraduates, which have gradually become the focus of social attention. With the emergence of some abnormal events such as more and more undergraduates’ suspension, and even suicide due to mental health issues, the social attention to undergraduates’ mental health has reached a climax. According to the questionnaire of undergraduates’ mental health issues, this paper uses keyword extraction to analyze the management and plan of undergraduates’ mental health. Based on the classical TextRank algorithm, this paper proposes an improved TextRank algorithm based on upper approximation rough data-deduction. The experimental results show that the accurate rate, recall rate, and F1 of proposed algorithm have been significantly improved, and the experimental results also demonstrate that the proposed algorithm has good performance in running time and physical memory occupation.Weifeng ZhangHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Weifeng Zhang Management and Plan of Undergraduates’ Mental Health Based on Keyword Extraction
description	Mental health issues are alarmingly on the rise among undergraduates, which have gradually become the focus of social attention. With the emergence of some abnormal events such as more and more undergraduates’ suspension, and even suicide due to mental health issues, the social attention to undergraduates’ mental health has reached a climax. According to the questionnaire of undergraduates’ mental health issues, this paper uses keyword extraction to analyze the management and plan of undergraduates’ mental health. Based on the classical TextRank algorithm, this paper proposes an improved TextRank algorithm based on upper approximation rough data-deduction. The experimental results show that the accurate rate, recall rate, and F1 of proposed algorithm have been significantly improved, and the experimental results also demonstrate that the proposed algorithm has good performance in running time and physical memory occupation.
format	article
author	Weifeng Zhang
author_facet	Weifeng Zhang
author_sort	Weifeng Zhang
title	Management and Plan of Undergraduates’ Mental Health Based on Keyword Extraction
title_short	Management and Plan of Undergraduates’ Mental Health Based on Keyword Extraction
title_full	Management and Plan of Undergraduates’ Mental Health Based on Keyword Extraction
title_fullStr	Management and Plan of Undergraduates’ Mental Health Based on Keyword Extraction
title_full_unstemmed	Management and Plan of Undergraduates’ Mental Health Based on Keyword Extraction
title_sort	management and plan of undergraduates’ mental health based on keyword extraction
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/88792d9f738b4df3a4435a125f4e1dfb
work_keys_str_mv	AT weifengzhang managementandplanofundergraduatesmentalhealthbasedonkeywordextraction
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Management and Plan of Undergraduates’ Mental Health Based on Keyword Extraction

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