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A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus t...

A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus t...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2014506763

A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts

About this item

Full title

A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2018-02, Vol.14 (2), p.e1005962-e1005962

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Across academia and industry, text mining has become a popular strategy for keeping up with the rapid growth of the scientific literature. Text mining of the scientific literature has mostly been carried out on collections of abstracts, due to their availability. Here we present an analysis of 15 million English scientific full-text articles publis...

Alternative Titles

Full title

A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2014506763

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2014506763

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1005962

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