Protein and Other Biomedical Entity Name Tagging from Pdf File using NLP and Visualization of that Entity

Protein and Other Biomedical Entity Name Tagging from Pdf File using NLP and Visualization of that Entity

Md. Arif Rizvee

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Md. Ashfakur Rahman Arju

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Saifuddin Mohammad Tareque

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α Daffodil International University

Protein and Other Biomedical Entity Name Tagging from Pdf File using NLP and Visualization of that Entity

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Abstract

Protein and other biomedical entities such as a gene, chromosome names are key elements in bioinformatics. Identifying them individually from the pdf file is very challenging. Because a text pdf document can contain lots of information, identifying them is not so much easy task. So the main focus in our project is converting the pdf file to humanreadable text file then we will have to find the gene and other entities from the GENIA tagger website database. Using natural language processing GENIA tagger will give us the name of all the protein, gene, and other biomedical entity name. After identifying them, we will save it to database. Then we will visualize the related data.

References

11 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Md. Arif Rizvee. 2019. \u201cProtein and Other Biomedical Entity Name Tagging from Pdf File using NLP and Visualization of that Entity\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 19 (GJCST Volume 19 Issue C1): .

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GJCST Volume 19 Issue C1
Pg. 23- 25

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-C Classification: J.3

Submission ReceivedDecember 13, 2018
Peer Review Double Blind
Handling Editor
Accepted January 2, 2019
Published January 15, 2019

Version of record

v1.2

Issue date

April 16, 2019

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Article Matrices

Total Score: 103

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Md. Arif Rizvee, Md. Ashfakur Rahman Arju, Saifuddin Mohammad Tareque (PhD/Dr. count: 0)

View Count (all-time): 301

Total Views (Real + Logic): 5415

Total Downloads (simulated): 1356

Publish Date: 2019 04, Tue

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Total Views: 5415

Total Downloads: 1356

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