Author-Specific Sentiment Aggregation for Polarity Prediction of Reviews

Subhabrata Mukherjee, Sachindra Joshi

[How to correct problems with metadata yourself]

Abstract
In this work, we propose an author-specific sentiment aggregation model for polarity prediction of reviews using an ontology. We propose an approach to construct a Phrase Annotated Author Specific Sentiment Ontology Tree (PASOT), where the facet nodes are annotated with opinion phrases of the author, used to describe the facets, as well as the author’s preference for the facets. We show that an author-specific aggregation of sentiment over an ontology fares better than a flat classification model, which does not take the domain-specific facet importance or author-specific facet preference into account. We compare our approach to supervised classification using Support Vector Machines, as well as other baselines from previous works, where we achieve an accuracy improvement of 7.55% over the SVM baseline. Furthermore, we also show the effectiveness of our approach in capturing thwarting in reviews, achieving an accuracy improvement of 11.53% over the SVM baseline.
Anthology ID:
L14-1395
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3092–3099
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/467_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Subhabrata Mukherjee and Sachindra Joshi. 2014. Author-Specific Sentiment Aggregation for Polarity Prediction of Reviews. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3092–3099, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Author-Specific Sentiment Aggregation for Polarity Prediction of Reviews (Mukherjee & Joshi, LREC 2014)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/467_Paper.pdf
PDF Search