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Authors: Domenico Consoli ; Claudia Diamantini and Domenico Potena

Affiliation: Universitá Politecnica delle Marche, Italy

ISBN: 978-989-8111-88-3

ISSN: 2184-4992

Keyword(s): Customer Opinions, Web 2.0, Sentiment Analysis, Affective Analysis, Opinion Mining, Opinion Polarity, Ekman Emotional Indexes.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Human Factors ; Human-Computer Interaction ; Physiological Computing Systems

Abstract: Human interact with other people and exchange reviews and ideas via web. With the explosion of Web 2.0 platforms such as blogs, discussion forums, peer-to-peer networks, and various other types of social media, consumers share, on the web, their opinions regarding any product/service. Opinions give information about how product/service and reality in general is perceived by other people. Emotional needs are associated with the psychological aspects of product ownership. The customer when writes his reviews on a product/service transmits emotions in the message that he/she feels first and after purchasing the product. For the enterprise understanding customer emotional needs is vital for predicting and influencing their purchasing behaviour. In this paper, we polarize, with original algorithm, customer opinions basing on emotional indexes that are used for decipher, in affective key, facial expressions and emotional lexicon.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Consoli, D.; Diamantini, C. and Potena, D. (2009). AFFECTIVE ALGORITHM TO POLARIZE CUSTOMER OPINIONS. In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 978-989-8111-88-3; ISSN 2184-4992, pages 157-160. DOI: 10.5220/0001851601570160

@conference{iceis09,
author={Domenico Consoli. and Claudia Diamantini. and Domenico Potena.},
title={AFFECTIVE ALGORITHM TO POLARIZE CUSTOMER OPINIONS},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 5: ICEIS,},
year={2009},
pages={157-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001851601570160},
isbn={978-989-8111-88-3},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 5: ICEIS,
TI - AFFECTIVE ALGORITHM TO POLARIZE CUSTOMER OPINIONS
SN - 978-989-8111-88-3
IS - 2184-4992
AU - Consoli, D.
AU - Diamantini, C.
AU - Potena, D.
PY - 2009
SP - 157
EP - 160
DO - 10.5220/0001851601570160

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