This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1461) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1793) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1820) Natural Language Processing (804) Depression and Mood Disorders; Suicide Prevention (1524) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1089) Machine Learning (1750)

Published on in Vol 19, No 7 (2017): July

Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study

Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study

Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study

Authors of this article:

Qijin Cheng1 Author Orcid Image ;   Tim MH Li2 Author Orcid Image ;   Chi-Leung Kwok1 Author Orcid Image ;   Tingshao Zhu3 Author Orcid Image ;   Paul SF Yip1 Author Orcid Image
Article Authors Cited by (153) Tweetations (18) Metrics
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Keisy De Oliveira Keisy De Oliveira @KeisyDeOliveir2

RT @v_vashishta: Assessing Suicide Risk & Emotional Distress in Chinese Social Media: A Text Mining & #MachineLearning Study https://t.co/8…

1:12 PM · Apr 22, 2019

3
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Pablo Malo Pablo Malo @pitiklinov

Aunque el primero en avisar de que los seguidores tuiteaban contenido que sugería ideación suicida fue Twitter pero… https://t.co/Mal81Qlolq

6:03 PM · Aug 15, 2019

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1
Miguel Angel Ruiz Miguel Angel Ruiz @Mars_777

RT @pitiklinov: Aunque el primero en avisar de que los seguidores tuiteaban contenido que sugería ideación suicida fue Twitter pero lo reti…

2:29 AM · Aug 16, 2019

3
1
fredbarney fredbarney @yabbadabbadoo99

Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study https://t.co/Y9zmc4zA60

1:06 PM · Jul 10, 2017

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Sven Awege Sven Awege @SVENNIECO

Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study https://t.co/KpEsysrv1U

1:09 PM · Jul 10, 2017

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1
KasiaHP KasiaHP @Kasia_HP

RT @SVENNIECO: Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study https://t.co…

2:06 PM · Jul 10, 2017

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alejandro vergara alejandro vergara @alevergara78

RT @JMedInternetRes: Assessing #SuicideRisk and #EmotionalDistress in Chinese #SocialMedia: A #TextMining and #MachineLearning Study https:…

3:15 PM · Jul 10, 2017

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1
Kenneth Lee Kenneth Lee @KennyPharmPhD

JMedInternetRes: "Assessing #SuicideRisk and #EmotionalDistress in Chinese #SocialMedia: A #TextMining and #Machin… https://t.co/wgZnSugVbf

3:18 PM · Jul 10, 2017

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sgoti sgoti @_surgeongeneral

Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and… https://t.co/Y8NpoK1Q3g

12:51 PM · Jul 12, 2017

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Ahmed Rashid Ahmed Rashid @Dr_A_Rashid

examining language markers of suicide risk and emotional distress in Chinese social media #weibo https://t.co/Gkw2Iufea6

8:05 PM · Jul 12, 2017

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Vin Vashishta Vin Vashishta @v_vashishta

Assessing Suicide Risk & Emotional Distress in Chinese Social Media: A Text Mining & #MachineLearning Study https://t.co/8RxnPvK7Qx #nlproc

1:00 PM · Jul 18, 2017

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Tareq Fadel Tareq Fadel @DeitaWorld

RT @v_vashishta: Assessing Suicide Risk & Emotional Distress in Chinese Social Media: A Text Mining & #MachineLearning Study https://t.co/8…

1:14 PM · Jul 18, 2017

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Aaron D. Patton Aaron D. Patton @aarondpatton

#Machinelearning studies assessing suicide risk in social media posts for earlier interventions. Very cool! #ai #ml… https://t.co/szUqfI5GW6

5:05 PM · Jul 18, 2017

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Aaron D. Patton Aaron D. Patton @aarondpatton

#Machinelearning studies assessing suicide risk in social media posts for earlier interventions. Very cool! #ai #ml https://t.co/C5jcp0z5wD

10:00 AM · Jul 19, 2017

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Kinde Kinde @wearekinde

There may come a time when people are diagnosed with mental illnesses based on their #socialmedia posts #bigdata https://t.co/NS6BxL4d7x

3:30 PM · Jul 28, 2017

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