suicide prevention using social media analytics
TRANSCRIPT
Jos PolflietSpecialist Data Sciences at SAS Institute - @JosPolfliet
Data Innovation SummitMarch, 30 2017
#DIS2017
Suicide prevention using text analytics
can someone with my number please text me because i have nobody to talk to and i just want to hut myself so badly and i’m scared
my own father told me I deserved being killed. I hate him
there's not one day I don’t think of killing myself
SourceStatistics Canada
Canadian Mental Health Association
1 out of 4 teenager deaths
2nd leading cause of death
1.1M tweets
Feelings: 106k ≈ 10%
Bullying: 11k ≈ 1%
Suicide: 382 ≈ 0.035% of tweets
39% correlation betweensuicide and bullying
Data Impact Challenge
Question 3
What proportion of Canadian youth (13-17) post about their mental health, and describe experiencing bullying or suicidal thoughts in the past 12 months on social
media?
Our submission
Won $10,000
donated to mental health charities
mind your mind and Rise Asset Development
Canada Health Infoway$95,000 in awards
Download Language Age Topic Analyze
Tweets in Canada during a specific time frame
Detect language Filter English
Build predictive model for AgeFilter teenagers
Detect topic• Aggression• Alcohol• Bullying• Family• Feelings• Relationships• …
Analyze relationships between topics
Contextual analysis of topics
Python crawler for Twitter API
SAS Text Analytics SAS Enterprise MinerSAS Text Analytics
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