Name
Title | ||
|---|---|---|
BioReader: a text mining tool for performing classification of biomedical literature. |
Abstract | ||
|---|---|---|
BioReader supports data and information collection by implementing text mining-based classification of primary biomedical literature in a web interface, thus enabling curators and researchers to take advantage of the vast amounts of data and information in the published literature. BioReader outperforms existing tools with similar functionalities and expands the features used for mining literature in database curation efforts. The tool is freely available as a web service at http://www.cbs.dtu.dk/services/BioReader. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1186/s12859-019-2607-x | BMC Bioinformatics |
Keywords | Field | DocType |
Biological databases,Database curation,Document classification,Literature survey,Machine learning,PubMed,Text mining | Document classification,Text mining,Information retrieval,Biology,Biological database,Bioinformatics | Journal |
Volume | Issue | ISSN |
19 | 13 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Simon | 1 | 0 | 0.34 |
| Kristian Davidsen | 2 | 0 | 0.34 |
| Christina Hansen | 3 | 0 | 0.34 |
| Emily Seymour | 4 | 15 | 1.01 |
| Mike Bogetofte Barnkob | 5 | 0 | 0.34 |
| Lars Rønn Olsen | 6 | 0 | 0.68 |