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首页> 外文期刊>IEEE Transactions on Knowledge and Data Engineering >Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences
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Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences

机译：利用神经网络和语言元数据对文本序列中的抑郁症征兆进行早期检测

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摘要

Depression is ranked as the largest contributor to global disability and is also a major reason for suicide. Still, many individuals suffering from forms of depression are not treated for various reasons. Previous studies have shown that depression also has an effect on language usage and that many depressed individuals use social media platforms or the internet in general to get information or discuss their problems. This paper addresses the early detection of depression using machine learning models based on messages on a social platform. In particular, a convolutional neural network based on different word embeddings is evaluated and compared to a classification based on user-level linguistic metadata. An ensemble of both approaches is shown to achieve state-of-the-art results in a current early detection task. Furthermore, the currently popular ERDE score as metric for early detection systems is examined in detail and its drawbacks in the context of shared tasks are illustrated. A slightly modified metric is proposed and compared to the original score. Finally, a new word embedding was trained on a large corpus of the same domain as the described task and is evaluated as well.
机译：抑郁症被认为是造成全球残疾的最大原因，也是自杀的主要原因。但是，许多患有抑郁症的人由于各种原因没有得到治疗。先前的研究表明，抑郁症还会影响语言使用，许多抑郁症患者通常会使用社交媒体平台或互联网来获取信息或讨论他们的问题。本文介绍了使用社交平台上基于消息的机器学习模型对抑郁症的早期检测。特别是，将评估基于不同词嵌入的卷积神经网络，并将其与基于用户级语言元数据的分类进行比较。显示了这两种方法的结合，可以在当前的早期检测任务中实现最新的结果。此外，详细检查了当前流行的ERDE分数作为早期检测系统的度量标准，并说明了在共享任务的背景下其缺点。提出了一个稍微修改的指标，并将其与原始分数进行比较。最后，在与所描述任务相同领域的大型语料库上训练了新词嵌入，并对其进行了评估。

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    Univ Appl Sci & Arts Dortmund Dept Comp Sci D-44227 Dortmund Germany;

    Univ Appl Sci & Arts Dortmund Dept Comp Sci D-44227 Dortmund Germany|TU Dortmund Univ Dept Comp Sci D-44227 Dortmund Germany|Univ Hosp Essen Dept Diagnost & Intervent Radiol & Neuroradiol D-45147 Essen Germany;

    Univ Appl Sci & Arts Dortmund Dept Comp Sci D-44227 Dortmund Germany|Univ Hosp Essen IMIBE D-45130 Essen Germany;

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  • 正文语种 eng
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  • 关键词

    Depression; early detection; linguistic metadata; convolutional neural network; word embeddings;

    机译：萧条;早期发现;语言元数据;卷积神经网络词嵌入;

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