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ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
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Acceptance Rate:
19%
APC:
500 USD
Average Days to Accept:
135 days
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Impact Factor 2022: 1.0
3.1
2022
CiteScore
49th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-03-28
Vol. 15, No. 3 has been published online!
2024-02-26
The papers published in Vol. 15, Nos. 1&2 have been registered with Crossref.
2024-02-26
Vol. 15, No. 2 has been published online!
Home
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2020
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Volume 11, No. 2, May 2020
>
Natural Language Processing for Disaster Management Using Conditional Random Fields
Hathairat Ketmaneechairat and Maleerat Maliyaem
College of Industrial Technology Faculty and Information Technology Faculty, King Mongkut's University of Technology North Bangkok, Thailand
Abstract
—This research aims to extract name entity mentioned in unstructured text into a predefined category using Conditional Random Field (CRF) and bidirectional Long Short-Term Memory (LSTM). The experiments were conducted using one thousand words which extracted from the collection of twitter massage that collected in the topic related to natural disaster and classify into six classes of the output. There are three scenarios for testing and evaluate: CRF, CRF-optimize and a combination of LSTM and CRF. The results show that CRF-optimize parameter performance is given better than other model with 98.94%, 98.95% and 98.93% for precision, recall and F-measure respectively.
Index Terms
—natural disaster, natural language processing, information extraction, conditional random field, named entity recognition
Cite: Hathairat Ketmaneechairat and Maleerat Maliyaem, "Natural Language Processing for Disaster Management Using Conditional Random Fields," Journal of Advances in Information Technology, Vol. 11, No. 2, pp. 97-102, May 2020. doi: 10.12720/jait.11.2.97-102
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
9-IJMLC-191-Final-Thailand
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