摘 要:随着社会经济的发展,人们的压力越来越大,近年越来越多的证据表明,抑郁症患者数量庞大,但其认知率、就诊率较低,如何能够让抑郁症患者重视自己,成了许多组织关注的问题。该项目针对抑郁症患者,采用自然语言处理与人工智能等技术,对抑郁症患者进行分析,包括对用户语音情绪状态进行识别,提取用户特征,建立预测模型,从而为其进行后续治疗提供借鉴。
关键词:抑郁症;人工智能;自然语言处理技术
DOI:10.19850/j.cnki.2096-4706.2021.11.003
基金项目:2021 年浙江省大学生科技创新 活动计划暨新苗人才计划项目(2021R421026)
中图分类号:TP181;TP311 文献标识码:A 文章编号:2096-4706(2021)11-0010-05
Planning and Design of "Youyi" Platform Based on Natural Language Processing Technology
CHEN Shuting, SHI Shengbo, YANG Xiaobo
(Zhejiang Shuren College, Hangzhou 310015, China)
Abstract: With the development of social economy, people's pressure is increasing. In recent years, more and more evidences show that the number of patients with depression is huge, but its cognitive rate and medical rate are very low. How to make patients with depression value themselves has become the concern of many organizations. For patients with depression, the project uses natural language processing and artificial intelligence technologies to analyze patients with depression, including the recognition of users' voice emotional state, extracting users' characteristics and establishing of prediction models, so as to provide reference for their follow-up treatments.
Keyword: depression; artificial intelligence; natural language processing technology
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作者简介:陈舒婷(2000—),女,汉族,浙江嘉兴人,本 科在读,研究方向:电子商务;石声波(1982—),女,汉族,浙 江安吉人,讲师,硕士,研究方向:电子商务,移动商务;杨晓波 (1971—),男,汉族,陕西西安人,副教授,博士,研究方向: 数据挖掘和业务协同等。