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Authors: Franco Tuveri and Manuela Angioni

Affiliation: Research and Development in Sardinia, Italy

Keyword(s): Opinion Mining, NLP, Feature Extraction, Lexical Resources

Abstract: Many approaches to Opinion Mining are based on linguistic resources, lexicons or lists of words. The lack of suitable and/or available resources is one of the main problems in the process of opinion extraction and in general in the analysis of textual resources based on a linguistic approach. In this paper we describe FreeWordNet, a linguistic resource based on WordNet and useful in the automatic method we propose for the extraction of features in a general domain. In FreeWordNet each synset is enriched with a set of properties related to adjectives and adverbs and has a positive, negative or objective value associated. The properties associated to each synset support a better identification of the sentiment expressed in relation to the domain and give more details about the relevant terms or the expressions having an opinion associated.

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Paper citation in several formats:
Tuveri, F. and Angioni, M. (2012). Definition of a Linguistic Resource for Opinion Mining. In Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2012) - NLPCS; ISBN 978-989-8565-16-7, SciTePress, pages 64-73. DOI: 10.5220/0004093300640073

@conference{nlpcs12,
author={Franco Tuveri. and Manuela Angioni.},
title={Definition of a Linguistic Resource for Opinion Mining},
booktitle={Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2012) - NLPCS},
year={2012},
pages={64-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004093300640073},
isbn={978-989-8565-16-7},
}

TY - CONF

JO - Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2012) - NLPCS
TI - Definition of a Linguistic Resource for Opinion Mining
SN - 978-989-8565-16-7
AU - Tuveri, F.
AU - Angioni, M.
PY - 2012
SP - 64
EP - 73
DO - 10.5220/0004093300640073
PB - SciTePress