探索语言特征和用户参与中文在线心理健康咨询的用户参与
Liyuan Zhang1,2, Dexi Liu1,3, Jing Li1,4
1School of Computer and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, 330013, JiangXi, China.
Heliyon
|December 16, 2024
概括
了解用户在心理健康平台上的参与度是关键. 在答案中语言风格的匹配大大提高了互动,特别是在与工作有关的问题上. 这项研究提供了对有效的在线咨询沟通的见解.
科学领域:
- 计算语言学 计算语言学
- 心理健康信息学心理健康信息学
- 社交计算社会计算
背景情况:
- 在线心理健康平台越来越受欢迎,以寻求帮助和社会支持.
- 了解这些平台上的用户参与驱动因素对于提高支持效率至关重要.
- 以前的研究主要集中在社交媒体上,需要对专业平台进行具体分析.
研究的目的:
- 在一个专业的心理健康平台上调查文章中的语言特征,以吸引用户的注意力和参与.
- 在线心理健康讨论中识别影响互动和咨询有效性的因素.
主要方法:
- 应用了文本挖掘和深度学习技术来分析来自中国在线心理健康平台的22250个问题和78,328个答案.
- 分析包括高频词,主题,词汇类别,语言风格匹配和帖子的语言建模.
- 文章根据用户参与水平进行了分类,以进行比较分析.
主要成果:
- 与工作有关的问题被确定为寻求帮助者最常见的问题.
- 热门话题包括成长,家庭,人际关系,情感和职业.
- 参与度较高的答案显示,语言风格与问题更好地匹配,词汇选择影响了参与度.
结论:
- 语言风格的问题和答案之间的匹配是推动用户参与心理健康平台的一个重要因素.
- 特定的词汇使用也在吸引注意力和互动方面发挥着作用.
- 调查结果提供了对用户行为和在线心理健康咨询的有效沟通策略的见解.
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