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Link to original content: https://unpaywall.org/10.5220/0005612603370343
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Authors: Filipa Peleja and João Magalhães

Affiliation: Faculdade de Ciências e Tecnologia and Universidade Nova de Lisboa, Portugal

Keyword(s): Sentiment Analysis, Opinion Mining, Opinion Targets.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Pre-Processing and Post-Processing for Data Mining ; Symbolic Systems

Abstract: Exploiting sentiment relations to capture opinion targets has recently caught the interest of many researchers. In many cases target entities are themselves part of the sentiment lexicon creating a loop from which it is difficult to infer the overall sentiment to the target entities. In the present work we propose to detect opinion targets by extracting syntactic patterns from short-texts. Experiments show that our method was able to successfully extract 1,879 opinion targets from a total of 2,052 opinion targets. Furthermore, the proposed method obtains comparable results to SemEval 2015 opinion target models in which we observed the syntactic structure relation that exists between sentiment words and their target.

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Paper citation in several formats:
Peleja, F. and Magalhães, J. (2015). Learning Text Patterns to Detect Opinion Targets. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 337-343. DOI: 10.5220/0005612603370343

@conference{kdir15,
author={Filipa Peleja and João Magalhães},
title={Learning Text Patterns to Detect Opinion Targets},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR},
year={2015},
pages={337-343},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005612603370343},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR
TI - Learning Text Patterns to Detect Opinion Targets
SN - 978-989-758-158-8
IS - 2184-3228
AU - Peleja, F.
AU - Magalhães, J.
PY - 2015
SP - 337
EP - 343
DO - 10.5220/0005612603370343
PB - SciTePress

- Science and Technology Publications, Lda.
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