An Approach to Detect Polarity Variation Rules for Sentiment Analysis

Pierluca Sangiorgi, Agnese Augello, Giovanni Pilato

2014

Abstract

Sentiment Analysis is a discipline that aims at identifying and extract the subjectivity expressed by authors of information sources. Sentiment Analysis can be applied at different level of granularity and each of them still has open issues. In this paper we propose a completely unsupervised approach aimed at inducing a set of words patterns that change the polarity of subjective terms. This is a very important task because, while sentiment lexicons are valid tools that can be used to identify the polarity at word level, working at different level of granularity they are no longer sufficient, because of the various aspects to consider like the context, the use of negations and so on that can change the polarity of subjective terms.

Paper Citation

in Harvard Style

Sangiorgi P., Augello A. and Pilato G. (2014). An Approach to Detect Polarity Variation Rules for Sentiment Analysis . In Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-989-758-024-6, pages 344-349. DOI: 10.5220/0004961903440349

in Bibtex Style

@conference{webist14,
author={Pierluca Sangiorgi and Agnese Augello and Giovanni Pilato},
title={An Approach to Detect Polarity Variation Rules for Sentiment Analysis},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2014},
pages={344-349},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004961903440349},
isbn={978-989-758-024-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - An Approach to Detect Polarity Variation Rules for Sentiment Analysis
SN - 978-989-758-024-6
AU - Sangiorgi P.
AU - Augello A.
AU - Pilato G.
PY - 2014
SP - 344
EP - 349
DO - 10.5220/0004961903440349