Learning Good Opinions from Just Two Words Is Not Bad

Darius Andrei Suciu, Vlad Vasile Itu, Alexandru Cristian Cosma, Mihaela Dinsoreanu, Rodica Potolea


Considering the wide spectrum of both practical and research applicability, opinion mining has attracted increased attention in recent years. This article focuses on breaking the domain-dependency issues which occur in supervised opinion mining by using an unsupervised approach. Our work devises a methodology by considering a set of grammar rules for identification of opinion bearing words. Moreover, we focus on tuning our method for the best tradeoff between precision-recall, computation complexity and number of seed words while not committing to a specific input data set. The method is general enough to perform well using just 2 seed words therefore we can state that it is an unsupervised strategy. Moreover, since the 2 seed words are class representatives (“good”, “bad”) we claim that the method is domain independent.


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Paper Citation

in Harvard Style

Suciu D., Itu V., Cosma A., Dinsoreanu M. and Potolea R. (2014). Learning Good Opinions from Just Two Words Is Not Bad . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014) ISBN 978-989-758-048-2, pages 233-241. DOI: 10.5220/0005079802330241

in Bibtex Style

author={Darius Andrei Suciu and Vlad Vasile Itu and Alexandru Cristian Cosma and Mihaela Dinsoreanu and Rodica Potolea},
title={Learning Good Opinions from Just Two Words Is Not Bad},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)},

in EndNote Style

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)
TI - Learning Good Opinions from Just Two Words Is Not Bad
SN - 978-989-758-048-2
AU - Suciu D.
AU - Itu V.
AU - Cosma A.
AU - Dinsoreanu M.
AU - Potolea R.
PY - 2014
SP - 233
EP - 241
DO - 10.5220/0005079802330241