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Authors: Elis Montoro Hernandes 1 ; Emanuel Teodoro 2 ; Andre Di Thommazo 1 and Sandra Fabbri 3

Affiliations: 1 Federal University of São Carlos, UFSCar, IFSP - São Paulo Federal Institute of Education and Science and Technology, Brazil ; 2 IFSP - São Paulo Federal Institute of Education and Science and Technology, Brazil ; 3 Federal University of São Carlos and UFSCar, Brazil

Keyword(s): Qualitative Analysis, Coding, Feasibility Study, Visualization, Experimental Software Engineering, Empirical Software Engineering.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Information Systems Analysis and Specification ; Software Engineering ; Tools, Techniques and Methodologies for System Development

Abstract: Context: Qualitative analysis is a scientific way to deeply understand qualitative data and to aid in its analysis. However, qualitative analysis is a laborious, time-consuming and subjective process. Aim: The authors propose the use of visualization and text mining to improve the qualitative analysis process. The objective of this paper is to explain how the use of visualization can support the Coding in multiple documents simultaneously, which may allow codes standardization thus making the process more efficient. Method: The Insight tool is being developed to make the proposal feasible and a feasibility study was performed to verify if the proposal offers benefits to the process and improves its results. Results: The study shows that the subjects who applied the proposal got more standardized codes and were more efficient than the ones who applied the process manually. Conclusions: The results derived from the use of visualization and text mining, even in a feasibility study, enco urage proceeding with the project, which aims to combine both techniques to obtain more benefits on qualitative analysis conduction. (More)

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Paper citation in several formats:
Montoro Hernandes, E.; Teodoro, E.; Di Thommazo, A. and Fabbri, S. (2014). Using Visualization and Text Mining to Improve Qualitative Analysis. In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-028-4; ISSN 2184-4992, SciTePress, pages 201-208. DOI: 10.5220/0004880102010208

@conference{iceis14,
author={Elis {Montoro Hernandes}. and Emanuel Teodoro. and Andre {Di Thommazo}. and Sandra Fabbri.},
title={Using Visualization and Text Mining to Improve Qualitative Analysis},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2014},
pages={201-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004880102010208},
isbn={978-989-758-028-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Using Visualization and Text Mining to Improve Qualitative Analysis
SN - 978-989-758-028-4
IS - 2184-4992
AU - Montoro Hernandes, E.
AU - Teodoro, E.
AU - Di Thommazo, A.
AU - Fabbri, S.
PY - 2014
SP - 201
EP - 208
DO - 10.5220/0004880102010208
PB - SciTePress