The Treasury Chest of Text Mining: Piling Available Resources for Powerful Biomedical Text Mining

• Type: Another Publication in an International Scientific Journal
• Date: 2021

Authors

Rosário Ferreira, N (Author) Other; Marques Pereira, C (Author) Other; Pires, M (Author) Other; Ramalhão, D (Author) Other; Pereira, N (Author) Other; Guimarães, V (Author) Other; Costa, VS (Author) FCUP; Moreira, IS (Author) Other

Journal

The Journal is awaiting validation by the Administrative Services.

Title: BioChem

Vol. 1

Pages: 60-80

ISSN: 2673-6411

Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

Indexing

Scopus - 8 Citations

Other information

Authenticus ID: P-00V-7TK

DOI: 10.3390/biochem1020007

Abstract (EN): Text mining (TM) is a semi-automatized, multi-step process, able to turn unstructured into structured data. TM relevance has increased upon machine learning (ML) and deep learning (DL) algorithms¿ application in its various steps. When applied to biomedical literature, text mining is named biomedical text mining and its specificity lies in both the type of analyzed documents and the language and concepts retrieved. The array of documents that can be used ranges from scientific literature to patents or clinical data, and the biomedical concepts often include, despite not being limited to genes, proteins, drugs, and diseases. This review aims to gather the leading tools for biomedical TM, summarily describing and systematizing them. We also surveyed several resources to compile the most valuable ones for each category. © 2021 by the authors.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 20