Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction

Author:

Kim Kyoungok,Lee Jaewook

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference62 articles.

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2. Predicting consumer sentiments from online text, enterprise risk and security management: data, text and web mining;Bai;Decision Support Systems,2011

3. M. Belkin, P. Niyogi, Laplacian eigenmaps and spectral techniques for embedding and clustering, in: Advances in Neural Information Processing Systems, vol. 14, MIT Press, 2001, pp. 585–591.

4. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples;Belkin;The Journal of Machine Learning Research,2006

5. J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, J. Wortman, Learning bounds for domain adaptation, in: Neural Information Processing Systems (NIPS), 2008.

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