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Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

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Knoesis Depression Project Logo

Social-media Depression Detector (SDD)

This tool allows you to detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media

HOW TO USE

Follow the steps in the Jupyter Notebook

Citing

If you do make use of SDD, the depression lexicon, or any of its components please cite the following publication:

Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, and Amit Sheth. "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media." In Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conference. IEEE, 2017.

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Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

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  • Jupyter Notebook 100.0%