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Authors: Ryosuke Saga 1 ; Naoaki Ohkusa 2 ; Takafumi Yamashita 3 and Nahomi Maki 4

Affiliations: 1 Graduate School of Engineering, Osaka Prefecture University, College of Sustainable System Sciences and Osaka Prefecture University, Japan ; 2 College of Sustainable System Sciences and Osaka Prefecture University, Japan ; 3 Graduate School of Engineering and Osaka Prefecture University, Japan ; 4 Kanagawa Institute of Tehcnology, Japan

Keyword(s): Information Visualization, Service Science, Customer Expectations, Co-occurrence Graph, Clustering, Auto-labeling.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; Data Management and Knowledge Representation ; General Data Visualization ; Graph Visualization ; Information and Scientific Visualization ; Visual Analytical Reasoning ; Visual Representation and Interaction

Abstract: This study describes the visualization of customer expectations using the service science domain. Customer expectations influence service quality and are considered important factors for user evaluation of services. Customer expectations are constructed from word of mouth, rumors, and user experience. Investigation using a questionnaire is useful in comprehending customer expectations, but this method is costly and time consuming. In this research, we extract customer expectations from Web text consisting of massive word-of-mouth data and visualize them using a co-occurrence graph. In addition, we apply clustering and auto-labeling methods to easily understand the results of the co-occurrence graph. In the case study of a coffee service, we are able extract topics related to customer expectations, but labeling methods are still subject to improvement.

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Paper citation in several formats:
Saga, R.; Ohkusa, N.; Yamashita, T. and Maki, N. (2017). Visualization of Customer Expectations from Web Text using Co-Occurrence Graph and Auto-labeling in the Service Market. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - IVAPP; ISBN 978-989-758-228-8; ISSN 2184-4321, SciTePress, pages 317-321. DOI: 10.5220/0006238303170321

@conference{ivapp17,
author={Ryosuke Saga. and Naoaki Ohkusa. and Takafumi Yamashita. and Nahomi Maki.},
title={Visualization of Customer Expectations from Web Text using Co-Occurrence Graph and Auto-labeling in the Service Market},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - IVAPP},
year={2017},
pages={317-321},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006238303170321},
isbn={978-989-758-228-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - IVAPP
TI - Visualization of Customer Expectations from Web Text using Co-Occurrence Graph and Auto-labeling in the Service Market
SN - 978-989-758-228-8
IS - 2184-4321
AU - Saga, R.
AU - Ohkusa, N.
AU - Yamashita, T.
AU - Maki, N.
PY - 2017
SP - 317
EP - 321
DO - 10.5220/0006238303170321
PB - SciTePress