https://scholars.lib.ntu.edu.tw/handle/123456789/413082
標題: | A neural network approach to early risk detection of depression and anorexia on social media text | 作者: | Wang Y.-T. Huang H.-H. Chen H.-H. |
關鍵字: | Anorexia;Convolutional Neural Network;Depression;Early Risk Detection | 公開日期: | 2018 | 卷: | 2125 | 來源出版物: | CEUR | 摘要: | In recent years, people actively write text messages on social media platforms like Twitter and Reddit. The text shared on social media drives various applications including influenza detection, suicide detection, and mental illness detection. This work presents our approach to early risk detection of depression and anorexia on social media in CLEF eRisk 2018. For the two mental illnesses, our models combine TF-IDF information and convolutional neural networks (CNNs) to identify the articles written by potential patients. The official evaluation shows ourmodels achieve ERDE5 of 10.81%, ERDE50 of 9.22%, andF-score of 0.37 in depression detection and ERDE5 of 13.65%, ERDE50 of 11.14%, and F-score of 0.67 in anorexia detection. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/413082 | ISSN: | 16130073 | SDG/關鍵字: | Convolution; Diseases; Neural networks; Anorexia; Convolutional neural network; Depression; F-score; Mental illness; Risk detections; Social media; Social media platforms; Social networking (online) |
顯示於: | 資訊工程學系 |
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