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Authors: Manuela Angioni ; Andrea Devola ; Mario Locci ; Francesca Mura ; Franco Tuveri and Mirella Varchetta

Affiliation: Center for Research and Scientific Studies in Sardinia, Italy

Keyword(s): Opinion Mining, User Profiling, Natural Language Processing.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Natural Language Interfaces to Intelligent Systems ; Symbolic Systems ; User Profiling and Recommender Systems

Abstract: This paper proposes an evaluation method for the performance measurement of an Opinion Mining system, parameterized according to the reviewer's point of view. The work aims to highlight and resolve some issues resulting from previous activities in evaluating the goodness of the results obtained by the analysis of the reviews. The evaluation method is based on a model of Opinion Mining system able to identify and assess the aspects included in a collection of reviews and the weighted importance of such aspects for their authors. A user profiling system will work together with the Opinion Mining system, providing the set of parameters to associate with the aspects and allowing the Opinion Mining system to configure itself according to the user preferences. For the preliminary experiments, a narrower sub-set of Yelp dataset limited to restaurants has been used.

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Paper citation in several formats:
Angioni, M.; Devola, A.; Locci, M.; Mura, F.; Tuveri, F. and Varchetta, M. (2018). An Evaluation Method for the Performance Measurement of an Opinion Mining System. In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-298-1; ISSN 2184-4992, SciTePress, pages 448-455. DOI: 10.5220/0006767404480455

@conference{iceis18,
author={Manuela Angioni. and Andrea Devola. and Mario Locci. and Francesca Mura. and Franco Tuveri. and Mirella Varchetta.},
title={An Evaluation Method for the Performance Measurement of an Opinion Mining System},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2018},
pages={448-455},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006767404480455},
isbn={978-989-758-298-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - An Evaluation Method for the Performance Measurement of an Opinion Mining System
SN - 978-989-758-298-1
IS - 2184-4992
AU - Angioni, M.
AU - Devola, A.
AU - Locci, M.
AU - Mura, F.
AU - Tuveri, F.
AU - Varchetta, M.
PY - 2018
SP - 448
EP - 455
DO - 10.5220/0006767404480455
PB - SciTePress

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