The Effect of Pre-Processing on the Classification of Twitter’s Flood Disaster Messages Using Support Vector Machine Algorithm-Reference-Cited by-同舟云学术

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The Effect of Pre-Processing on the Classification of Twitter’s Flood Disaster Messages Using Support Vector Machine Algorithm

Published:2020-10-07 Issue: Volume: Page:
ISSN:
Container-title:2020 3rd International Conference on Applied Engineering (ICAE)
language:
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Author:

Delimayanti Mera Kartika¹,Sari Risna¹,Laya Mauldy¹,Faisal M. Reza²,Pahrul ²,Naryanto Rizqi Fitri³

Affiliation:

1. Politeknik Negeri Jakarta,Department of Computer and Informatics Engineering,Depok,Indonesia

2. Lambung Mangkurat University,Department of Computer Science,Banjarbaru,Indonesia

3. Kanazawa University,Division of Mechanical Science and Engineering,Kanazawa,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9350316/9350372/09350387.pdf?arnumber=9350387

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1. Harvesting Natural Disaster Reports from Social Media with 1D Convolutional Neural Network and Long Short-Term Memory;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08

2. A Social Community Sensor for Natural Disaster Monitoring in Indonesia Using Hybrid 2D CNN LSTM;Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology;2023-10-24

3. The Effects of Stopwords, Stemming, and Lemmatization on Pre-trained Language Models for Text Classification: A Technical Study;2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI);2023-09-20

4. A comparison of word embedding-based extraction feature techniques and deep learning models of natural disaster messages classification;Journal of Computer Sciences Institute;2023-06-30

5. Machine learning approach for prediction model on biomass characteristic analysis;INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING FOR EMERGING TECHNOLOGIES (ICOMEET 2021);2023

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