An Analysis of DRR Suggestions Using K-means Clustering

Author:

Bui Shelly Marie Go1,Gorro Ken1,Aquino Gio Angelo1,Sabellano Mary Jane1

Affiliation:

1. University of San Carlos, Cebu, Philippines

Funder

University of San Carlos

Publisher

ACM Press

Reference10 articles.

1. Typhoon Haiyan Philippines. 2013. Retrieved from https://www.theguardian.com/world/2013/nov/11/typhoon-haiyan-philippines-relief-efforts-underway-live

2. Disaster Risk Reduction. 2014. Retrieved from http://blog.noah.dost.gov.ph/2014/11/06/priority-capacity-information-a-three-stage-approach-to-implementing-disaster-risk-reduction-and-management-at-the-local-level/

3. Disaster Risk Reduction. Retrieved from http://www.preventionweb.net/risk/drr-drm

4. Chen, N. C., Kocielnik, R., and Drouhard, M. 2016. Challenges of Applying Machine Learning to Qualitative Coding. Retrieved from https://faculty.washington.edu/aragon/pubs/textvisdrg_hcml2016.pdfTierney Patrick. 2012. A Qualitative Analysis Framework Using Natural Language Processing and Graph Theory. Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/1240/2363

5. Yan, J., McCracken, N., and Crowston, K. 2014. Semi-Automatic Content Analysis of Qualitative Data. Retrieved from https://www.ideals.illinois.edu/bitstream/handle/2142/47333/399_ready.pdf?sequence=2

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2. An analysis of Disaster Risk Suggestions using Latent Dirichlet Allocation and Hierarchical Dirichlet Process (Nonparametric LDA);2021 The 9th International Conference on Information Technology: IoT and Smart City;2021-12-22

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