International Conference on Knowledge Engineering and the Semantic Web

Knowledge Engineering and Semantic Web pp 168-181

A Low Effort Approach to Quantitative Content Analysis

Conference paper

DOI: 10.1007/978-3-319-24543-0_13

Part of the Communications in Computer and Information Science book series (CCIS, volume 518)
Cite this paper as:
Saburova M., Maysuradze A. (2015) A Low Effort Approach to Quantitative Content Analysis. In: Klinov P., Mouromtsev D. (eds) Knowledge Engineering and Semantic Web. Communications in Computer and Information Science, vol 518. Springer, Cham

Abstract

We propose a workflow for an individual sociologist to be able to use quantitative content analysis in small-scale short-term research projects. The key idea of the approach is to generate a domain-oriented dictionary for researchers with limited resources. The workflow starts like a typical one and then deviates to include content analysis. First, the researcher performs deductive analysis which results in an interview guide. Second, the researcher conducts the small number of interviews to collect a domain-oriented labelled text corpus. Third, a domain-oriented dictionary is generated for the following content analysis. We propose and compare a number of methods to automatically extract a domain-oriented dictionary from a labelled corpus. Some properties of the proposed workflow are empirically studied based on a sociological research on volunteering in Russia.

Keywords

Domain-oriented dictionary Quantitative content analysis Term extraction Low effort sociological workflow 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Faculty of Computational Mathematics and CyberneticsLomonosov Moscow State UniversityMoscowRussia

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