OPINION POLARITY DETECTION - Using Word Sense Disambiguation to Determine the Polarity of Opinions

Tamara Martín-Wanton, Aurora Pons-Porrata

2010

Abstract

In this paper, we present an unsupervised method for determining the polarity of opinions. It uses a word sense disambiguation algorithm to determine the correct sense of the words in the opinion. The method is also based on SentiWordNet and General Inquirer to determine the polarity of the senses. Due to the characteristics of these external resources, the proposed method does not depend on the knowledge domain and can be extended to other languages. In the evaluation carried out over the SemEval Task No. 14: Affective Text data our method outperforms both unsupervised and supervised systems presented in this task.

Paper Citation

in Harvard Style

Martín-Wanton T. and Pons-Porrata A. (2010). OPINION POLARITY DETECTION - Using Word Sense Disambiguation to Determine the Polarity of Opinions . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 483-486. DOI: 10.5220/0002703504830486

in Bibtex Style

@conference{icaart10,
author={Tamara Martín-Wanton and Aurora Pons-Porrata},
title={OPINION POLARITY DETECTION - Using Word Sense Disambiguation to Determine the Polarity of Opinions},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={483-486},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002703504830486},
isbn={978-989-674-021-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - OPINION POLARITY DETECTION - Using Word Sense Disambiguation to Determine the Polarity of Opinions
SN - 978-989-674-021-4
AU - Martín-Wanton T.
AU - Pons-Porrata A.
PY - 2010
SP - 483
EP - 486
DO - 10.5220/0002703504830486