Quotation Litofcenko, Julia, Karner, Dominik, Maier, Florentine. 2020. Methods for Classifying Nonprofit Organizations According to their Field of Activity: A Report on Semi-automated Methods Based on Text. Voluntas: International Journal of Voluntary and Nonprofit Organizations. 31 (1), 227-237.


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Abstract

There are various methods for classifying nonprofit organizations (NPOs) according to their field of activity. We report our experiences using two semi-automated methods based on textual data: rule-based classification and machine learning with curated keywords. We use those methods to classify Austrian nonprofit organizations based on the International Classification of Nonprofit Organizations. Those methods can provide a solution to the widespread research problem that quantitative data on the activities of NPOs are needed but not readily available from administrative data, long high-quality texts describing NPOs’ activities are mostly unavailable, and human labor resources are limited. We find that in such a setting, rule-based classification performs about as well as manual human coding in terms of precision and sensitivity, while being much more labor-saving. Hence, we share our insights on how to efficiently implement such a rule-based approach. To address scholars with a background in data analytics as well as those without, we provide non-technical explanations and open-source sample code that is free to use and adapt.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Voluntas: International Journal of Voluntary and Nonprofit Organizations
Citation Index SSCI
WU Journalrating 2009 A
WU-Journal-Rating new INF-A, MAN-A, STRAT-B, WH-B
Language English
Title Methods for Classifying Nonprofit Organizations According to their Field of Activity: A Report on Semi-automated Methods Based on Text
Volume 31
Number 1
Year 2020
Page from 227
Page to 237
URL https://link.springer.com/article/10.1007%2Fs11266-019-00181-w#article-info
DOI https://doi.org/10.1007/s11266-019-00181-w
Open Access Y
Open Access Link https://doi.org/10.1007/s11266-019-00181-w

Associations

People
Litofcenko, Julia (Details)
Karner, Dominik (Details)
Maier, Florentine (Details)
Organization
Institute for Nonprofit Management IN (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
5324 Organizational research (Details)
5363 Non-profit-sector research (NPO, NPI) (Details)
5421 Aging research (Details)
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