在自然语言中体验了与博相关的伤害
Simon T van Baal1, Piotr Bogdanski2, Araanya Daryanani2
1Department of Occupational, Economic and Social Psychology, University of Vienna.
概括
在线论坛提供匿名支持与博相关的伤害,揭示了消极情绪,关系问题和财务困境的常见主题. 分析这些讨论提供了关于博危害的多面性质的宝贵见解.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 公共卫生 公共卫生
背景情况:
- 与博相关的危害对个人及其社会圈子产生重大影响.
- 耻辱和耻辱阻止许多人寻求正式的博成治疗.
- 在线自助论坛提供了一个可访问的,匿名的支持途径.
研究的目的:
- 用自然语言处理分析英国在线博自助论坛上的讨论.
- 了解用户讨论的与博相关的伤害类型和情绪体验.
- 将这些讨论映射到已建立的博相关伤害领域.
主要方法:
- 利用相关的主题建模来识别讨论主题.
- 使用语义相似性分析与句子嵌入.
- 将论坛帖子和确定的主题映射到六个与博相关的危害领域.
主要成果:
- 确定了包括负面情绪,积极变化情绪,关系伤害和环境因素在内的主题.
- 情绪/心理和健康上的伤害最常与用户的帖子有关.
- 揭示了金融和情感/心理伤害的同时发生.
结论:
- 在自然语言中对生活经验的分析为博研究提供了一个新的研究工具.
- 调查结果强调了各种与博相关的伤害之间的相互联系.
- 提供了一个独特的视角,以告知公共卫生政策和干预措施.
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