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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.
Md. Arif Rizvee, Md. Ashfakur Rahman Arju, Saifuddin Mohammad Tareque. 2019. "Protein and Other Biomedical Entity Name Tagging from Pdf File using NLP and Visualization of that Entity". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 19 (GJCST Volume 19 Issue C1).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 143
Country: Bangladesh
Subject: Global Journal of Computer Science and Technology
Authors: Md. Arif Rizvee, Md. Ashfakur Rahman Arju, Saifuddin Mohammad Tareque (PhD/Dr. count: 0)
View Count (all-time): 440
Total Views (Real + Logic): 2307
Total Downloads (simulated): 187
Publish Date: 2019 01, Tue
Monthly Totals (Real + Logic):
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