Suicide Risk Severity Assessment

The implementation of the method in our WWW 2019 paper "Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention".

Resources

Paper and Poster

Data

Annotated Data mentioned in the paper is available in the ./Data folder (obtained from https://github.com/manasgaur/Knowledge-aware-Assessment-of-Severity-of-Suicide-Risk-for-Early-Intervention).

Source Tree

.
├── Data
│   └── 500_Reddit_users_posts_labels.csv   : Anonymized annotated reddit dataset
│
└── models
    ├── 5-Label_Classification.py     : 5-Label classification {'Supportive', 'Indicator', 'Ideation', 'Behavior', 'Attempt'}
    ├── 4-Label_Classification.py     : 4-Label classification {Indicator', 'Ideation', 'Behavior', 'Attempt'}
    └── 3+1-Label_Classification.py   : 3+1-Label classification {('Supportive', 'Indicator'), 'Ideation', 'Behavior', 'Attempt'}

How to use

• Clone the repository to your local machine:

•   git clone [email protected]:jpsain/Suicide-Severity.git

• Download the ConceptNet term vectors ("English-only") from [https://github.com/commonsense/conceptnet-numberbatch]
• Obtain external features for each reddit post in the input file ("Data/500_Reddit_users_posts_labels.csv") and save it as "Data/External_Features.csv".
  • External_Features.csv: "User", "Features"
• In the models -> 5-Label_Classification.py / 4-Label_Classification.py / 3+1-Label_Classification.py, modify the parameters as you desire and then run the code.

  python 5-Label_Classification.py

• The results will be save as "Result_5-Label_Classification.tsv".

Required Packages

• Python 2.7
• nltk
• gensim
• numpy
• sklearn
• keras

Licenses

This work is licensed under GPL-3.0 license. A copy of the first license can be found in this repository.

Citing

If you do make use of dataset or models or any of its components please cite the following publication:

Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit Sheth, Randy Welton, and Jyotishman Pathak. Knowledge-aware assessment of severity of suicide risk for early intervention. In The World Wide Web Conference, pp. 514-525. ACM, 2019.

@inproceedings{gaur2019knowledge,
   title={Knowledge-aware assessment of severity of suicide risk for early intervention},
   author={Gaur, Manas
            and Alambo, Amanuel
            and Sain, Joy Prakash
            and Kursuncu, Ugur
            and Thirunarayan, Krishnaprasad
            and Kavuluru, Ramakanth
            and Sheth, Amit
            and Welton, Randy
            and Pathak, Jyotishman},
   booktitle={The World Wide Web Conference},
   pages={514--525},
   year={2019},
   organization={ACM}
}

We would also be very happy if you provide a link to the github repository:

... Suicide Risk Severity Assessment tool\footnote{
    \url{https://github.com/jpsain/Suicide-Severity}
}