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REVISTA DE CHIMIE
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https://doi.org/10.37358/Rev.Chim.1949

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Revista de Chimie (Rev. Chim.), Year 2021, Volume 72, Issue 4, 52-64

https://doi.org/10.37358/RC.21.4.8456

Thiyagu Meenachisundaram, Manjula Dhanabalachandran

Biomedical Named Entity Recognition Using the SVM Methodologies and bio Tagging Schemes

Abstract:

Biomedical Named Entity Recognition (BNER) is identification of entities such as drugs, genes, and chemicals from biomedical text, which help in information extraction from the domain literature. It would allow extracting information such as drug profiles, similar or related drugs and associations between drugs and their targets. This venue presents opportunities for improvement even though many machine learning methods have been applied. The efficiency can be improved in case of biological related chemical entities as there are varied structure and properties. This new approach combines two state-of-the-art algorithms and aims to improve the performance by applying it to varied sets of features including linguistic, orthographic, Morphological, domain features and local context features. It uses the sequence tagging capability of CRF to identify the boundary of the entity and classification efficiency of SVM to detect subtypes in BNER. The method is tested on two different datasets 1) GENIA and 2) CHEMDNER corpus with different types of entities. The result shows that proposed hybrid method enhances the BNER compared to the conventional machine learning algorithms. Moreover the detailed study of SVM and the methodologies has been discussed clearly. The linear and non linear text classification can be mapped clearly in the section 3. The final section describes the results and the evaluation of the proposed method.
Keywords:
Named Entity Recognition; Conditional Random Field; Support Vector Machines; Hybrid Machine Learning approach

Issue: 2021, Volume 72, Issue 4
Pages: 52-64
Publication date: 2021/10/29
https://doi.org/10.37358/RC.21.4.8456
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Creative Commons License
This article is published under the Creative Commons Attribution 4.0 International License
Citation Styles
Cite this article as:
MEENACHISUNDARAM, T., DHANABALACHANDRAN, M., Biomedical Named Entity Recognition Using the SVM Methodologies and bio Tagging Schemes, Rev. Chim., 72(4), 2021, 52-64.

Vancouver
Meenachisundaram T, Dhanabalachandran M. Biomedical Named Entity Recognition Using the SVM Methodologies and bio Tagging Schemes. Rev. Chim.[internet]. 2021 Apr;72(4):52-64. Available from: https://doi.org/10.37358/RC.21.4.8456


APA 6th edition
Meenachisundaram, T., Dhanabalachandran, M. (2021). Biomedical Named Entity Recognition Using the SVM Methodologies and bio Tagging Schemes. Revista de Chimie, 72(4), 52-64. https://doi.org/10.37358/RC.21.4.8456


Harvard
Meenachisundaram, T., Dhanabalachandran, M. (2021). 'Biomedical Named Entity Recognition Using the SVM Methodologies and bio Tagging Schemes', Revista de Chimie, 72(4), pp. 52-64. https://doi.org/10.37358/RC.21.4.8456


IEEE
T. Meenachisundaram, M. Dhanabalachandran, "Biomedical Named Entity Recognition Using the SVM Methodologies and bio Tagging Schemes". Revista de Chimie, vol. 72, no. 4, pp. 52-64, 2021. [online]. https://doi.org/10.37358/RC.21.4.8456


Text
Thiyagu Meenachisundaram, Manjula Dhanabalachandran,
Biomedical Named Entity Recognition Using the SVM Methodologies and bio Tagging Schemes,
Revista de Chimie,
Volume 72, Issue 4,
2021,
Pages 52-64,
ISSN 2668-8212,
https://doi.org/10.37358/RC.21.4.8456.
(https://revistadechimie.ro/Articles.asp?ID=8456)
Keywords: Named Entity Recognition; Conditional Random Field; Support Vector Machines; Hybrid Machine Learning approach


RIS
TY - JOUR
T1 - Biomedical Named Entity Recognition Using the SVM Methodologies and bio Tagging Schemes
A1 - Meenachisundaram, Thiyagu
A2 - Dhanabalachandran, Manjula
JF - Revista de Chimie
JO - Rev. Chim.
PB - Revista de Chimie SRL
SN - 2668-8212
Y1 - 2021
VL - 72
IS - 4
SP - 52
EP - 64
UR - https://doi.org/10.37358/RC.21.4.8456
KW - Named Entity Recognition
KW - Conditional Random Field
KW - Support Vector Machines
KW - Hybrid Machine Learning approach
ER -


BibTex
@article{RevCh2021P52,
author = {Meenachisundaram Thiyagu and Dhanabalachandran Manjula},
title = {Biomedical Named Entity Recognition Using the SVM Methodologies and bio Tagging Schemes},
journal = {Revista de Chimie},
volume = {72},
number = {4},
pages = {52-64},
year = {2021},
issn = {2668-8212},
doi = {https://doi.org/10.37358/RC.21.4.8456},
url = {https://revistadechimie.ro/Articles.asp?ID=8456}
}
 
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