Unsupervised Classification of Opinions

Itu Vlad Vasile, Rodica Potolea, Mihaela Dinsoreanu

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: KDIR, (IC3K 2016) ISBN 978-989-758-203-5, pages 360-366. DOI: 10.5220/0006069903600366


in Bibtex Style

@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 - Volume 1: KDIR, (IC3K 2016)},
year={2016},
pages={360-366},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006069903600366},
isbn={978-989-758-203-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)
TI - Unsupervised Classification of Opinions
SN - 978-989-758-203-5
AU - Vlad Vasile I.
AU - Potolea R.
AU - Dinsoreanu M.
PY - 2016
SP - 360
EP - 366
DO - 10.5220/0006069903600366