Implementation of GA-Based Feature Selection in the Classification and Mapping of Disaster-Related Tweets-Reference-Cited by-同舟云学术

Implementation of GA-Based Feature Selection in the Classification and Mapping of Disaster-Related Tweets

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Natural Language Processing and Information Retrieval - NLPIR 2018
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Author:

Benitez Ian P.¹,Sison Ariel M.²,Medina Ruji P.¹

Affiliation:

1. Technological Institute of the Philippines, Quezon City, Philippines

2. School of Computer Studies, Emilio Aguinaldo College, Manila, Philippines

Funder

Commission on Higher Education

Publisher

ACM Press

Reference37 articles.

1. Ajao, O. 2015. A survey of location inference techniques on Twitter.

2. Steinert-Threlkeld, Z. C. 2017. Twitter as Data. pp. 1--104.

3. Shah, A. 2015. Classification of Twitter Trends using Feature ranking and Feature Selection Classification of Twitter Trends using Feature Ranking and Feature Selection.

4. Caragea, C. et al. 2011. Classifying Text Messages for the Haiti Earthquake. Proc. 8th Int. ISCRAM Conf., no. May, pp. 1--10.

5. Alcayna, T., Bollettino, V., Dy P., and Vinck, P. 2016. Resilience and disaster trends in the Philippines: Opportunities for national and local capacity building. PLoS Curr., vol. 8, no. Disasters, pp. 1--12.

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