COVID-19蓝调:大数据分析

Yooha Lim
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引用次数: 8

摘要

本研究的目的是分析与“电晕蓝调”相关的大数据,探讨主要问题和意义。这些数据是在2020年1月至8月期间通过网络抓取收集的,并使用语义网络分析进行分析。结果表明,与Corona Blues相关的关键词是抑郁、克服、延长、心智和焦虑。主题建模表明,主要主题是心理困难、精神卫生服务、青年支持、克服冠状病毒和医学兴趣。此外,正面数据的前N-gram关键词是克服抑郁和克服情绪保护。另一方面,负面数据中排名前n的关键词是抑郁-无助、焦虑-无助。大数据分析显示,Corona Blues需要持续的护理和心理支持。对咨询干预和进一步研究的建议提供了启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COVID-19 Blues: A Big Data Analysis
The purpose of this study was to analyze big data related to the “ Corona Blues ” to explore major issues and meanings. The data were collected using web crawling from January through August, 2020, and analyzed using semantic network analysis. The results indicated that the top keywords related to Corona Blues were depression, overcoming, prolongation, mind, and anxiety. Topic modeling indicated that the main topics were psychological difficulties, mental health services, youth support, overcoming the corona virus, and medical interest. Additionally, the top N-gram keywords in positive data were depression-overcoming, and emotional guard-overcoming. On the other hand, the top N-gram keywords in negative data were depression-helplessness, and anxiety-helplessness. Big data analysis reveals the need for continuity of care and psychological support for Corona Blues. Implications for counseling intervention and recommendations for further research are provided.
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