Unsupervised Classification of Opinions

Itu Vlad Vasile; Rodica Potolea; Mihaela Dinsoreanu

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Paper

Unsupervised Classification of Opinions

Topics: Business Intelligence Applications; Clustering and Classification Methods; Data Analytics; Data Mining in Electronic Commerce; Information Extraction; Machine Learning; Mining Text and Semi-Structured Data; Software Development

In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 0IC3K, 360-366, 2016 , Porto, Portugal

Authors: Itu Vlad Vasile ; Rodica Potolea and Mihaela Dinsoreanu

Affiliation: Technical University of Cluj-Napoca, Romania

Keyword(s): Unsupervised Learning, Opinion Mining, NLP, Domain Independent Learning, Implementation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Business Intelligence Applications ; Clustering and Classification Methods ; Computational Intelligence ; Data Analytics ; Data Engineering ; Data Mining in Electronic Commerce ; Evolutionary Computing ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Mining Text and Semi-Structured Data ; Soft Computing ; Software Development ; Symbolic Systems

Abstract: Opinion mining is gaining more interest thanks to the ever growing data available on the internet. This work proposes an unsupervised approach that clusters opinions in fine grain ranges. The approach is able to generate its own seed words for better applicability to the context and eliminating user input. Furthermore, we devise a computation strategy for the influence of valence shifters and negations on opinion words. The method is general enough to perform well while reducing subjectivity to a minimum.

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Paper citation in several formats:

Vlad Vasile, I.; Potolea, R. and Dinsoreanu, M. (2016). Unsupervised Classification of Opinions. In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR; ISBN 978-989-758-203-5; ISSN 2184-3228, SciTePress, pages 360-366. DOI: 10.5220/0006069903600366

@conference{kdir16,
author={Itu {Vlad Vasile}. and Rodica Potolea. and Mihaela Dinsoreanu.},
title={Unsupervised Classification of Opinions},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR},
year={2016},
pages={360-366},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006069903600366},
isbn={978-989-758-203-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR
TI - Unsupervised Classification of Opinions
SN - 978-989-758-203-5
IS - 2184-3228
AU - Vlad Vasile, I.
AU - Potolea, R.
AU - Dinsoreanu, M.
PY - 2016
SP - 360
EP - 366
DO - 10.5220/0006069903600366
PB - SciTePress