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Update 'docs/data-provision/enrichment/classified.md'

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Harry Dimitropoulos 2022-11-16 16:41:42 +01:00
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| Property | Description | | Property | Description |
| --- | --- | | --- | --- |
| Short description | Classifiers | | Short description | A document classification algorithm that employs analysis of free text stemming from the abstracts of the publications. The purpose of applying a document classification module is to assign a scientific text to one or more predefined content classes. |
| Authority | ATHENA Research Center, Greece | | Authority | ATHENA Research Center, Greece |
| Licence | CC-BY/CC-0 | | Licence | CC-BY/CC-0 |
| Algorithmic details | The algorithm classifies publication's fulltexts using a Bayesian classifier and weighted terms according to an offline training phase. The training has been done using the following taxonomies: arxiv, dcc, acm | | Algorithmic details | The algorithm classifies publication's fulltexts using a Bayesian classifier and weighted terms according to an offline training phase. The training has been done using the following taxonomies: arXiv, MeSH (Medical Subject Headings), ACM, and DDC (Dewey Decimal Classification, or Dewey Decimal System). |
| Parameters | Publication's identifier and fulltext | | Parameters | Publication's identifier and fulltext |
| Limitations | N/A | | Limitations | N/A |
| Code repository | https://github.com/openaire/iis/tree/master/iis-wf/iis-wf-referenceextraction/src/main/resources/eu/dnetlib/iis/wf/referenceextraction | | Code repository | https://github.com/openaire/iis/tree/master/iis-wf/iis-wf-referenceextraction/src/main/resources/eu/dnetlib/iis/wf/referenceextraction |