Abstract:This paper focuses on how to enhance feature representation for opinion mining. The classical feature representation methods suffer from high dimensionality, sparsity , noisy, irrelevant and redundant information. It is proposed to exploit the manifold assumption and sparse property as prior knowledge for opinion representation to learn effective features. First, the graph representation of user reviews based on the mentioned prior knowledge is learned. Then, the spectral properties of the learned graph are e… Show more
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