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Báo cáo khoa học: "Topic Analysis for Psychiatric Document Retrieval"

Psychiatric document retrieval attempts to help people to efficiently and effectively locate the consultation documents relevant to their depressive problems. Individuals can understand how to alleviate their symptoms according to recommendations in the relevant documents. This work proposes the use of high-level topic information extracted from consultation documents to improve the precision of retrieval results. | Topic Analysis for Psychiatric Document Retrieval Liang-Chih Yu Chung-Hsien Wu Chin-Yew Lin Eduard Hovy and Chia-Ling Lin Department of CSIE National Cheng Kung University Tainan Taiwan R.O.C. Microsoft Research Asia Beijing China Information Sciences Institute University of Southern California Marina del Rey CA USA liangchi@isi.edu chwu totalwhite @csie.ncku.edu.tw cyl@microsoft.com hovy@isi.edu Abstract Psychiatric document retrieval attempts to help people to efficiently and effectively locate the consultation documents relevant to their depressive problems. Individuals can understand how to alleviate their symptoms according to recommendations in the relevant documents. This work proposes the use of high-level topic information extracted from consultation documents to improve the precision of retrieval results. The topic information adopted herein includes negative life events depressive symptoms and semantic relations between symptoms which are beneficial for better understanding of users queries. Experimental results show that the proposed approach achieves higher precision than the word-based retrieval models namely the vector space model VSM and Okapi model adopting word-level information alone. 1 Introduction Individuals may suffer from negative or stressful life events such as death of a family member argument with a spouse and loss of a job. Such events play an important role in triggering depressive symptoms such as depressed moods suicide attempts and anxiety. Individuals under these circumstances can consult health professionals using message boards and other services. Health professionals respond with suggestions as soon as possible. However the response time is generally several days depending on both the processing time required by health professionals and the number of 1024 problems to be processed. Such a long response time is unacceptable especially for patients suffering from psychiatric emergencies such as suicide attempts. A potential .