Using machine learning algorithms to detect suicide risk factors on twitter

Samah Fodeh; Taihua Li; Kevin Menczynski; Tedd Burgette; Andrew Harris; Georgeta Ilita; Satyan Rao; Jonathan Gemmell; Daniela Raicu

doi:10.1109/ICDMW.2019.00137

Using machine learning algorithms to detect suicide risk factors on twitter

Samah Fodeh
, Taihua Li
, Kevin Menczynski
, Tedd Burgette
, Andrew Harris
, Georgeta Ilita
, Satyan Rao
, Jonathan Gemmell
, Daniela Raicu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019
Editors	Panagiotis Papapetrou, Xueqi Cheng, Qing He
Publisher	IEEE (Institute of Electrical and Electronics Engineers)
Pages	941-948
Number of pages	8
ISBN (Electronic)	9781728146034
DOIs	https://doi.org/10.1109/ICDMW.2019.00137
State	Published - Nov 2019
Event	19th IEEE International Conference on Data Mining Workshops, ICDMW 2019 - Beijing, China Duration: Nov 8 2019 → Nov 11 2019

Publication series

Name	IEEE International Conference on Data Mining Workshops, ICDMW
Volume	2019-November
ISSN (Print)	2375-9232
ISSN (Electronic)	2375-9259

Conference

Conference	19th IEEE International Conference on Data Mining Workshops, ICDMW 2019
Country/Territory	China
City	Beijing
Period	11/8/19 → 11/11/19

ASJC Scopus Subject Areas

Computer Science Applications
Software

Keywords

Latent semantic analysis
Suicide ideation
Text analysis
Topic modeling

Access to Document

10.1109/ICDMW.2019.00137

Cite this

Fodeh, S., Li, T., Menczynski, K., Burgette, T., Harris, A., Ilita, G., Rao, S., Gemmell, J., & Raicu, D. (2019). Using machine learning algorithms to detect suicide risk factors on twitter. In P. Papapetrou, X. Cheng, & Q. He (Eds.), Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019 (pp. 941-948). Article 8955490 (IEEE International Conference on Data Mining Workshops, ICDMW; Vol. 2019-November). IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICDMW.2019.00137

Using machine learning algorithms to detect suicide risk factors on twitter. / Fodeh, Samah; Li, Taihua; Menczynski, Kevin et al.
Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019. ed. / Panagiotis Papapetrou; Xueqi Cheng; Qing He. IEEE (Institute of Electrical and Electronics Engineers), 2019. p. 941-948 8955490 (IEEE International Conference on Data Mining Workshops, ICDMW; Vol. 2019-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fodeh, S, Li, T, Menczynski, K, Burgette, T, Harris, A, Ilita, G, Rao, S, Gemmell, J & Raicu, D 2019, Using machine learning algorithms to detect suicide risk factors on twitter. in P Papapetrou, X Cheng & Q He (eds), Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019., 8955490, IEEE International Conference on Data Mining Workshops, ICDMW, vol. 2019-November, IEEE (Institute of Electrical and Electronics Engineers), pp. 941-948, 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019, Beijing, China, 11/8/19. https://doi.org/10.1109/ICDMW.2019.00137

Fodeh S, Li T, Menczynski K, Burgette T, Harris A, Ilita G et al. Using machine learning algorithms to detect suicide risk factors on twitter. In Papapetrou P, Cheng X, He Q, editors, Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019. IEEE (Institute of Electrical and Electronics Engineers). 2019. p. 941-948. 8955490. (IEEE International Conference on Data Mining Workshops, ICDMW). doi: 10.1109/ICDMW.2019.00137

Fodeh, Samah ; Li, Taihua ; Menczynski, Kevin et al. / Using machine learning algorithms to detect suicide risk factors on twitter. Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019. editor / Panagiotis Papapetrou ; Xueqi Cheng ; Qing He. IEEE (Institute of Electrical and Electronics Engineers), 2019. pp. 941-948 (IEEE International Conference on Data Mining Workshops, ICDMW).

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author = "Samah Fodeh and Taihua Li and Kevin Menczynski and Tedd Burgette and Andrew Harris and Georgeta Ilita and Satyan Rao and Jonathan Gemmell and Daniela Raicu",

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Using machine learning algorithms to detect suicide risk factors on twitter

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

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