部落客憂鬱傾向分析與預測

Translated title of the contribution: Analysis and prediction of blogger's depression tendency

Chia Ming Tung, Wen Hsiang Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

According to the investigation report of the Department of Health, Executive Yuan, R.O.C. in 2007, it is estimated that about 7.3% of Taiwan's population suffer from the major depressive disorder. How to identify patients with depression tendency is one of important health issues. Thus, this project tries to develop a novel technique to automatically identify the depression tendency of bloggers using their blog posts. With the fast growth of social networks, bloggers usually write daily posts with their emotion and events happened in work, home, or life. Although there are lots of research works about emotion analysis and classification, to our knowledge, there is no work focusing on prediction of blogger's depression tendency based on emotion analysis. In this project, we try to analyze key factors affecting major depressive disorder, such as negative event, negative emotion, symptom and negative thought, and then use these four factors to assist bloggers to predict depression tendency. Therefore, we focus on the investigation of the following two research issues (1) analysis of relevant factors of depression on blog posts written by patients with the major depressive disorder, (2) development of event-emotion-driven depression tendency prediction model.

Translated title of the contributionAnalysis and prediction of blogger's depression tendency
Original languageChinese
Title of host publicationProceedings of the 27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015
EditorsSin-Horng Chen, Hsin-Min Wang, Jen-Tzung Chien, Hung-Yu Kao, Wen-Whei Chang, Yih-Ru Wang, Shih-Hung Wu
PublisherThe Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Pages263-276
Number of pages14
ISBN (Electronic)9789573079286
Publication statusPublished - 2015 Oct 1
Event27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015 - Hsinchu, Taiwan
Duration: 2015 Oct 12015 Oct 2

Publication series

NameProceedings of the 27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015

Conference

Conference27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015
CountryTaiwan
CityHsinchu
Period15-10-0115-10-02

All Science Journal Classification (ASJC) codes

  • Speech and Hearing
  • Language and Linguistics

Fingerprint Dive into the research topics of 'Analysis and prediction of blogger's depression tendency'. Together they form a unique fingerprint.

Cite this