An approach to feature selection for sentiment analysis

@article{Koncz2011AnAT,
  title={An approach to feature selection for sentiment analysis},
  author={Peter Koncz and J{\'a}n Paralic},
  journal={2011 15th IEEE International Conference on Intelligent Engineering Systems},
  year={2011},
  pages={357-362}
}
Sentiment analysis deals with methods for automatic analysis of the subjective aspects of the text. In this contribution we first present an overview of main approaches currently used in sentiment analysis. We further focus on feature selection methods for sentiment analysis and propose a new approach to feature selection. Our approach has been experimentally evaluated on movie review dataset. The results show that the proposed method is computationally efficient and in exchange sacrifices only… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 44 references

Selecting Attributes for Sentiment Classification Using Feature Relation Networks

IEEE Transactions on Knowledge and Data Engineering • 2011
View 7 Excerpts
Highly Influenced

An Empirical Study of Unsupervised Sentiment Classification of Chinese Reviews

Z. Zhai
Tsinghua Science & Technology, pp. 702-708, 2010. • 2010
View 6 Excerpts
Highly Influenced

Sentiment analysis: A combined approach

J. Informetrics • 2009
View 9 Excerpts
Highly Influenced

An Extensive Empirical Study of Feature Selection Metrics for Text Classification

Journal of Machine Learning Research • 2003
View 8 Excerpts
Highly Influenced

Document sentiment classification by exploring description model of topical terms

Computer Speech & Language • 2011
View 5 Excerpts
Highly Influenced

Klasifikácia názorov vo vláknových diskusiách na webe

K. Machová, M. Kraj
presented at the Znalosti 2011, Stará Lesná, Slovakia, 2011. • 2011
View 4 Excerpts
Highly Influenced

Predicting consumer sentiments from online text

Decision Support Systems • 2011
View 6 Excerpts
Highly Influenced

Integrating Intra- and Inter-document Evidences for Improving Sentence Sentiment Classification

Y.-Y. Zhao
Acta Automatica Sinica, pp. 1417-1425 2010. • 2010
View 4 Excerpts
Highly Influenced

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