Back to Search Start Over

Automatically Assigning Research Methods to Journal Articles in the Domain of Social Sciences.

Authors :
Eckle-Kohler, Judith
Nghiem, Tri-Duc
Gurevych, Iryna
Source :
Proceedings of the Association for Information Science & Technology; 2013, Vol. 50 Issue 1, p1-8, 8p
Publication Year :
2013

Abstract

We investigate the automatic assignment of research methods to journal articles from the domain of Social Sciences. We employ Computer Science and Computational Linguistics methodology to perform this automatic assignment of metadata. The multi-label classification system we present uses only abstracts and titles of journal articles as input. Our best system is able to assign the important research methods empirical and quantitative empirical with F-scores of 0.67 and 0.68. These research methods are in the focus of many recent manual analyses of publications databases. Our classification approach could be applied to automatically analyze large publications databases and databases of bibliographic references according to the use of empirical and quantitative empirical methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23739231
Volume :
50
Issue :
1
Database :
Complementary Index
Journal :
Proceedings of the Association for Information Science & Technology
Publication Type :
Conference
Accession number :
115251440
Full Text :
https://doi.org/10.1002/meet.14505001049