Opinion Extraction from Editorial Articles based on Context Information

Yoshimi Suzuki, Fumiyo Fukumoto

2015

Abstract

Opinion extraction supports various tasks such as sentiment analysis in user reviews for recommendations and editorial summarization. In this paper, we address the problem of opinion extraction from newspaper editorials. To extract author’s opinion, we used context information addition to the features within a single sentence only. Context information are a location of the target sentence, and its preceding, and succeeding sentences. We defined the opinion extraction task as a sequence labeling problem, using conditional random fields (CRF). We used Japanese newspaper editorials in the experiments, and used multiple combination of features of CRF to reveal which features are effective for opinion extraction. The experimental results show the effectiveness of the method, especially, predicate expression, location and previous sentence are effective for opinion extraction.

Paper Citation

in Harvard Style

Suzuki Y. and Fukumoto F. (2015). Opinion Extraction from Editorial Articles based on Context Information . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 375-380. DOI: 10.5220/0005633503750380

in Bibtex Style

@conference{keod15,
author={Yoshimi Suzuki and Fumiyo Fukumoto},
title={Opinion Extraction from Editorial Articles based on Context Information},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)},
year={2015},
pages={375-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005633503750380},
isbn={978-989-758-158-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)
TI - Opinion Extraction from Editorial Articles based on Context Information
SN - 978-989-758-158-8
AU - Suzuki Y.
AU - Fukumoto F.
PY - 2015
SP - 375
EP - 380
DO - 10.5220/0005633503750380