TAILIEUCHUNG - 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 . Microsoft Research Asia Beijing China Information Sciences Institute University of Southern California Marina del Rey CA USA liangchi@ chwu totalwhite @ cyl@ hovy@ 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 .

• Báo cáo khoa học
• Topic Analysis
• Psychiatric Document Retrieval
• Liang Chih Yu
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Structural Topic Model
• Latent Topical Structure Analysis
• Hongning Wang
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Incorporating topic information
• sentiment analysis models
• Tony Mullen
• Lecture Finance
• Financial management
• Financial statement analysis
• Portfolio analysis
• Efficient market theory
• Efficient frontier
• Analysis of trends related to Vietnam in Korea
• Big data analysis
• National Assembly Library
• LDA technology
• Probabilistic topic modeling technique
• Social sciences and humanities
• TV viewers’ symbolic parasocial interactions
• Modelling analysis of viewers’ comments
• Computer mediated communication
• Media popularity
• BMC Pulmonary Medicine
• Bronchodilator agents
• Nebulizers and vaporizers
• Randomized controlled trials as topic
• Hypertonic saline
• Systematic review
• Meta analysis
• management methods
• management of art
• Summary of experience
• Relation to Course Topic
• Understanding the Experience
• performance management
• Strategy
• Design
• Change
• Employee and Organizational Effectiveness
• Topic Relationship
• Professor Randy
• Financial reporting under IFRS
• Financial reporting
• Non current assets
• Group accounts
• Financial analysis
• The IASB and development of the IFRS
• Measure risk
• Attitudes toward risk
• Capital asset pricing model
• Stock market
• Warren buffett way
• Financial statements
• Bond characteristics
• Interest rates
• Bond valuation
• Preferred stocks
• Sinking fund
• Convertible securities
• investor profit profiles
• Stock options
• Stock ownership
• Futures markets
• Futures contracts
• Futures markets terms
• Mutual funds
• Pooled diversification
• Investing in mutual funds
• Common stock basics
• Stock market mentality
• Valuation of common stock
• BMC Bioinformatics
• Data mining
• Topic modeling
• Next generation sequencing
• Genetic diversity
• BMC Genomics
• Topic model
• Unigram mixture
• Bayesian inference
• Microbial communities
• Disease conditions
• Global finance
• Global financial management
• Lecture Global financial management
• Managing country risk
• Country risk
• Country risk analysis