24 lines
1.6 KiB
Markdown
24 lines
1.6 KiB
Markdown
---
|
|
sidebar_position: 5
|
|
---
|
|
|
|
# Classifiers
|
|
|
|
| Property | Description |
|
|
| --- | --- |
|
|
| 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 |
|
|
| 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, MeSH (Medical Subject Headings), ACM, and DDC (Dewey Decimal Classification, or Dewey Decimal System). |
|
|
| Parameters | Publication's identifier and fulltext |
|
|
| 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 |
|
|
| Environment | Python, madIS (https://github.com/madgik/madis), APSW (https://github.com/rogerbinns/apsw) |
|
|
| References & resources | [Giannakopoulos, T., Stamatogiannakis, E., Foufoulas, I., Dimitropoulos, H., Manola, N., Ioannidis, Y. (2014). Content Visualization of Scientific Corpora Using an Extensible Relational Database Implementation. In: Bolikowski, Ł., Casarosa, V., Goodale, P., Houssos, N., Manghi, P., Schirrwagen, J. (eds) Theory and Practice of Digital Libraries -- TPDL 2013 Selected Workshops. TPDL 2013. Communications in Computer and Information Science, vol 416. Springer, Cham.](https://doi.org/10.1007/978-3-319-08425-1_10) |
|
|
|
|
|
|
|
|
|
|
|
|
|