A novel imbalanced data classification approach for suicidal ideation detection on social media

Author:

Ben Hassine Mohamed Ali,Abdellatif Safa,Ben Yahia SadokORCID

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Reference32 articles.

1. Abdellatif S, Ben Hassine MA, Ben Yahia S, Bouzeghoub A (2018) ARCID: a new approach to deal with imbalanced datasets classification. In: SOFSEM 2018: theory and practice of computer science - 44th international conference on current trends in theory and practice of computer science, Krems, Austria, January 29–February 2, 2018, Proceedings, pp 569–580

2. Ali K, Manganaris S, Srikant R (1997) Partial classification using association rules. In: Proceedings of the third international conference on knowledge discovery and data mining (KDD-97), Newport Beach, California, USA, August 14–17, 1997, pp 115–118

3. American Psychiatric Association (2003) Practice guideline for the assessment and treatment of patients with suicidal behaviors. Am J Psychiatry 160:1–60

4. Antonie ML, Zaiane OR (2002) Text document categorization by term association. In: Proceedings of 2002 IEEE international conference on data mining. IEEE, pp 19–26

5. Ben Yahia S, Gasmi G, Nguifo EM (2009) A new generic basis of factual and implicative association rules. Intell Data Anal 13:633–656. https://doi.org/10.3233/IDA-2009-0384

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