Enhancing the HL-SOT Approach to Sentiment Analysis via a Localized Feature Selection Framework

Abstract

In this paper, we propose a Localized Feature Selection (LFS) framework tailored to the HL-SOT approach to sentiment analysis. Within the proposed LFS framework, each node classifier of the HL-SOT approach is able to perform classification on target texts in a locally customized index term space. Extensive empirical analysis against a human-labeled data set… (More)

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@inproceedings{Wei2011EnhancingTH, title={Enhancing the HL-SOT Approach to Sentiment Analysis via a Localized Feature Selection Framework}, author={Wei Wei and Jon Atle Gulla}, booktitle={IJCNLP}, year={2011} }