基于百度贴吧“同妻吧”的同妻负性情绪特征及来源分析

doi:10.16460/j.issn1008-9969.2022.07.012

摘要/Abstract

摘要： 目的分析同妻群体负性情绪的特征及来源,为开展心理健康护理和干预提供思路和数据支持,促进同妻群体的心理健康。方法本研究于2021年10月14日起开始关注百度贴吧中“同妻吧”中的发帖动态,利用 Python爬取百度贴吧“同妻吧”中截止到2021年11月07日的帖子,最终获取72 680条帖子的数据。通过分词、TF-IDF算法得到词频排名前50的高频关键词;利用 Gephi 软件对关键词进行共现网络分析;利用Boson提供的情感词典判断所提取高频关键词的情感正负程度,计算每个小时内发帖数量,并分析发帖内容的正负性情绪特征。结果凌晨3：00—5∶00用户活跃度最低（占3.01%）,晚上20∶00 —23∶00同妻活跃度最高（占23.04%）。偏正性情感表达的有29 414条,其中情感得分>0.5的帖子有29 386条,占总发帖量的40.40%,情感得分=0.5的有28条（0.03%）;情感得分<0.50分的有43 266条,均表达了负性情绪,占总发帖量的59.50%,各个时间段的平均情感得分均偏负性。在表达负性情绪时,“恶心”、“怀疑”、“痛苦”、“不好”、“伤害”是被提及最多的词语,发帖的内容主要围绕婚姻问题进行讨论。结论百度贴吧“同妻吧”中的同妻普遍倾向于表达负性情绪,婚姻问题是同妻负性情绪的主要来源。同妻群体的心理健康问题应引起人们的重视,要及时予以心理护理干预,提升这个弱势群体的心理健康水平,加强对同妻合法权益的保护。

关键词: 同妻贴吧, 人工智能, 网络爬虫, 情感分析, 社交媒体

Abstract: Objective To understand the characteristics and sources of negative emotions of wives of gay, to provide ideas and data support for mental health care and intervention, and to promote the mental health of wives of gays. Methods This study focused on the postsin “Bar of Wives of Gays”of Baidu Post Barsince October 14, 2021. Python was used to crawl the posts up to November 7, 2021, and the data of 72,680 posts were obtained. Through word segmentation and TF-IDF algorithm, the top 50 high-frequency keywords were obtained. Gephi software was used to analyze the co-occurrence network of keywords and the emotional dictionary provided by Boson to judge the positive and negative emotional degree of the extracted high-frequency keywords.The number of posts per hour was calculated, and the positive and negative emotional characteristics of the posts were analyzed. Results The morning 03:00 to 05:00 witnessed the lowest user activity (3.01%), and 20:00 to 23:00 in the evening the highest (23.04%). There were 29,414 posts with positive emotional expressions, including 29,386 posts with emotional score >0.5, accounting for 40.40% of the total, and 28 posts with emotional score=0.5 (0.03%). A total of 43,266 posts with emotional score<0.50 expressed negative emotions, accounting for 59.50% of the total. The average emotional score of each period was negative. When expressing negative emotions, “disgusting”, “doubt”, “anguish”, “unpleasure”and “damage”were the most mentioned words. The posts mainly focused on marriage. Conclusion Negative emotions from marital problems are frequently-seen in "Bar of Wives of Gays"of Baidu Post Bar. More attention should be paid to the mental health of wives of gays, and timely psychological nursing intervention is significant for this vulnerable group and the protection of the legitimate rights and interests of wives of gay should be strengthened.

Key words: bar of wives of gays, artificial intelligence, web crawlers, affective analysis, social media

中图分类号:

R471

李朝阳, 杨芬, 胡婷, 赵雪扬, 吴曼. 基于百度贴吧“同妻吧”的同妻负性情绪特征及来源分析[J]. 护理学报, 2022, 29(7): 12-16.

LI Zhao-yang, YANG Fen, HU Ting, ZHAO Xue-yang, WU Man. Characteristics and Sources of Negative Emotions of Wives of Gay Based on “Bar of Wives of Gays” in Baidu Post Bar[J]. Journal of Nursing, 2022, 29(7): 12-16.

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