NDLI: Detecting Suicidal Ideation in Chinese Microblogs with Psychological Lexicons

Content Provider	IEEE Xplore Digital Library
Author	Xiaolei Huang Lei Zhang Tianli Liu Chiu, D. Xin Li Tingshao Zhu
Copyright Year	2014
Description	Author affiliation: Dept. of Math. & Comput. Sci., Univ. of Puget Sound, Tacoma, WA, USA (Chiu, D.) \|\| China Networking Inf. Center, China (Xin Li) \|\| Inst. of Population Res., Peking Univ., Beijing, China (Tianli Liu) \|\| Inst. of Psychol., China (Xiaolei Huang; Lei Zhang; Tingshao Zhu)
Abstract	Suicide is among the leading causes of death in China. However, technical approaches toward preventing suicide are challenging and remaining under development. Recently, several actual suicidal cases were preceded by users who posted micro blogs with suicidal ideation to Sina Weibo, a Chinese social media network akin to Twitter. It would therefore be desirable to detect suicidal ideations from micro blogs in real-time, and immediately alert appropriate support groups, which may lead to successful prevention. In this paper, we propose a real-time suicidal ideation detection system deployed over Weibo, using machine learning and known psychological techniques. Currently, we have identified 53 known suicidal cases who posted suicide notes on Weibo prior to their deaths. We explore linguistic features of these known cases using a psychological lexicon dictionary, and train an effective suicidal Weibo post detection model. 6714 tagged posts and several classifiers are used to verify the model. By combining both machine learning and psychological knowledge, SVM classifier has the best performance of different classifiers, yielding an F-measure of 68:3%, a Precision of 78:9%, and a Recall of 60:3%.
Starting Page	844
Ending Page	849
File Size	310641
Page Count	6
File Format	PDF
e-ISBN	9781479976461
DOI	10.1109/UIC-ATC-ScalCom.2014.48
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-09
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Sentiment analysis Dictionaries Conferences Social network services Psychology Media Feature extraction Psychological lexicons Suicidal ideation detection
Content Type	Text
Resource Type	Article

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