Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions

Dijana Kosmajac; Kirstie Smith; Vlado Keselj; Susan Kirkland

doi:10.1109/ICDMW51313.2020.00088

Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions

Dijana Kosmajac, Kirstie Smith, Vlado Keselj, Susan Kirkland

Chemical Engineering

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

Original language	English
Title of host publication	Proceedings - 20th IEEE International Conference on Data Mining Workshops, ICDMW 2020
Editors	Giuseppe Di Fatta, Victor Sheng, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu
Publisher	IEEE Computer Society
Pages	621-628
Number of pages	8
ISBN (Electronic)	9781728190129
DOIs	https://doi.org/10.1109/ICDMW51313.2020.00088
Publication status	Published - Nov 2020
Event	20th IEEE International Conference on Data Mining Workshops, ICDMW 2020 - Virtual, Sorrento, Italy Duration: Nov 17 2020 → Nov 20 2020

Publication series

Name	IEEE International Conference on Data Mining Workshops, ICDMW
Volume	2020-November
ISSN (Print)	2375-9232
ISSN (Electronic)	2375-9259

Conference

Conference	20th IEEE International Conference on Data Mining Workshops, ICDMW 2020
Country/Territory	Italy
City	Virtual, Sorrento
Period	11/17/20 → 11/20/20

ASJC Scopus Subject Areas

Computer Science Applications
Software

Access to Document

10.1109/ICDMW51313.2020.00088

Cite this

Kosmajac, D., Smith, K., Keselj, V., & Kirkland, S. (2020). Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions. In G. Di Fatta, V. Sheng, A. Cuzzocrea, C. Zaniolo, & X. Wu (Eds.), Proceedings - 20th IEEE International Conference on Data Mining Workshops, ICDMW 2020 (pp. 621-628). Article 9346328 (IEEE International Conference on Data Mining Workshops, ICDMW; Vol. 2020-November). IEEE Computer Society. https://doi.org/10.1109/ICDMW51313.2020.00088

Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions. / Kosmajac, Dijana; Smith, Kirstie; Keselj, Vlado et al.
Proceedings - 20th IEEE International Conference on Data Mining Workshops, ICDMW 2020. ed. / Giuseppe Di Fatta; Victor Sheng; Alfredo Cuzzocrea; Carlo Zaniolo; Xindong Wu. IEEE Computer Society, 2020. p. 621-628 9346328 (IEEE International Conference on Data Mining Workshops, ICDMW; Vol. 2020-November).

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

Kosmajac, D, Smith, K, Keselj, V & Kirkland, S 2020, Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions. in G Di Fatta, V Sheng, A Cuzzocrea, C Zaniolo & X Wu (eds), Proceedings - 20th IEEE International Conference on Data Mining Workshops, ICDMW 2020., 9346328, IEEE International Conference on Data Mining Workshops, ICDMW, vol. 2020-November, IEEE Computer Society, pp. 621-628, 20th IEEE International Conference on Data Mining Workshops, ICDMW 2020, Virtual, Sorrento, Italy, 11/17/20. https://doi.org/10.1109/ICDMW51313.2020.00088

Kosmajac D, Smith K, Keselj V, Kirkland S. Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions. In Di Fatta G, Sheng V, Cuzzocrea A, Zaniolo C, Wu X, editors, Proceedings - 20th IEEE International Conference on Data Mining Workshops, ICDMW 2020. IEEE Computer Society. 2020. p. 621-628. 9346328. (IEEE International Conference on Data Mining Workshops, ICDMW). doi: 10.1109/ICDMW51313.2020.00088

Kosmajac, Dijana ; Smith, Kirstie ; Keselj, Vlado et al. / Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions. Proceedings - 20th IEEE International Conference on Data Mining Workshops, ICDMW 2020. editor / Giuseppe Di Fatta ; Victor Sheng ; Alfredo Cuzzocrea ; Carlo Zaniolo ; Xindong Wu. IEEE Computer Society, 2020. pp. 621-628 (IEEE International Conference on Data Mining Workshops, ICDMW).

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Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions

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