DISUMMIT - Jos Polfliet - Suicide prevention using text analytics
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Jos Polfliet Making the AI revolution happen - Faction XYZ In my daily job, I help companies translate their business problems to questions that can be answered by data, using AI, machine learning, data mining, predictive modeling and sensor analytics. This way companies can improve their business processes by making data-driven decisions, with often impressive and insightful results. Faction XYZ is an applied artificial intelligence engineering service provider, with headquarters in Antwerp (Belgium). We serve clients with a vision and budget for a future where data science and machine learning will continue to drive our client’s core business in a rapidly transforming economic reality. Our in-depth knowledge of artificial intelligence, conversational agents, and an array of emerging technologies make us the first choice for companies with a vision and budget. We advance your strategic goals by imagining, developing, and implementing the technology stack you need to stay ahead.
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DISUMMIT - Jos Polfliet - Suicide prevention using text analytics
- 1. Jos Polfliet Specialist Data Sciences at SAS Institute - @JosPolfliet Data Innovation Summit March, 30 2017 #DIS2017 Suicide prevention using text analytics
- 2. 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
- 3. Source Statistics Canada Canadian Mental Health Association 1 out of 4 teenager deaths1 out of 4 teenager deaths 2nd leading cause of death2nd leading cause of death
- 4. 1.1M tweets Feelings: 106k ≈ 10% Bullying: 11k ≈ 1% Suicide: 382 ≈ 0.035% of tweets 39% correlation between suicide and bullying
- 5. 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
- 6. Download Language Age Topic Analyze Tweets in Canada during a specific time frame Detect language Filter English Build predictive model for Age Filter 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 Miner SAS Text Analytics SAS Text Analytics SAS Visual Analytics
- 10. Data Science Project Funnel Idea Define Prove Decide Build Deploy Data available? Does this make sense? Done before? Input variables? Target variable? Expected value? Is performance as we expect? Data Quality? Offline evaluation Potential value? Accuracy measures? How difficult? Feasibility? Data sources (internal/external)? Time? Priority? Budget? Executive buy-in? Business process redesign? Architecture Technical Performance Change mgmt. Resources Actual value? Live Evaluation WE ARE HERE
- 11. Use your textual data.
- 12. Associate CommentsAssociate Comments Live ChatLive Chat Factory/Technician NotesFactory/Technician Notes HR dataHR data Medical/Health RecordsMedical/Health Records Contracts & ApplicationsContracts & Applications
- 13. If anybody knows Maggie, let me know! [I’m serious] @JosPolfliet
- 14. Jos Polfliet Specialist Data Sciences at SAS Institute - @JosPolfliet Data Innovation Summit March, 30 2017 #DIS2017 Suicide prevention using text analytics
Notas do Editor
- EXAMPLES These are some of the examples the kind of things teenagers put on social media. A lot of teenagers are very open on social media, way more open then they are to their parents or teachers. Currently, as far as I know, all this data is not used anywhere. It is just completely ignored. It is ignored, while suicide is the 2nd leading cause of death in teenagers [NEXT SLIDE]
- Second leading cause of death among youth in Canada, according to Statistics Canada, Accounting for one fifth of deaths of people under the age of 25 in 2011. The Canadian Mental Health Association says that among 15 – 24 year olds the number is an even more frightening at 24 percent Signals that an individual plans on self-injury or suicide are hard to isolate. Text Mining and Text Analytics can help [All data that I will show here is Canadian. I had the opportunity to work for as a Specialist Data Sciences for SAS Canada during a little over a year before returing back to Belgium]
- 1.1M tweets By teens (13-17 years old) In English language In Canada Jan 6 – 13, 2016 … Why did we do this?
- One of the thigns we COULD do: we can come up with a predictive model to predict a probability that someone is dealing with depression or suical thoughts. But let’s take a step back.
- Talk about How we want to use that. Privacy issues. GDPR.
- Privacy, GDPR regulations tells us we can’t use data unless we have explicit permission. Even open source. Policy making and trends Personalized help Correlate with e.g. suicide hotline call centre data Forecasting and time series analysis. Impact of: Exam time? Christmas? Vacation? Steve Stevaert/Robin Williams
- I have a lot of ideas. And most of them are pretty shitty. Technology is mature, and has been for the last 10-15 years. Technology is ready, but I feel that companies and governments aren’t yet.
- Large scale data mining. For good, or for profit. It has Value The technology is ready. The software is ready. It is easy. It doesn’t have to be hard. For good, but also for profit. Just do it. And if you don’t ask me how.
- For Good… but also For Profit
- Would love to redo this analysis in Belgium. And actually do something useful. If anybodyt knows Maggiie, or somebody close to her who might be interested in this. Let’s redo this.