Fuzzy deep belief networks for semi-supervised sentiment classification
作者： Shusen Zhou , Qingcai Chen , Xiaolong Wang
DOI: 10.1016/J.NEUCOM.2013.10.011
关键词:
摘要: … fuzzy deep belief networks (FDBN) for sentiment classification. First, we train the general deep … Then, we design a fuzzy membership function for each class of reviews based on the …
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sci-hub.se 参考文章(54)
Shusen Zhou, Qingcai Chen, Xiaolong Wang, Active Deep Networks for Semi-Supervised Sentiment Classification international conference on computational linguistics. pp. 1515- 1523 ,(2010)
Michael Gamon, Anthony Aue, Customizing Sentiment Classifiers to New Domains: a Case Study ,(2019)
Nigel Collier, Tony Mullen, Sentiment Analysis using Support Vector Machines with Diverse Information Sources empirical methods in natural language processing. pp. 412- 418 ,(2004)
Guohong Fu, Xin Wang, Chinese Sentence-Level Sentiment Classification Based on Fuzzy Sets international conference on computational linguistics. pp. 312- 319 ,(2010)
Danuta Rutkowska, Neuro-Fuzzy Architectures and Hybrid Learning ,(2001)
Semi-Supervised Learning Advanced Methods in Sequence Analysis Lectures. pp. 221- 232 ,(2010) , 10.7551/MITPRESS/9780262033589.001.0001
Semir Zeki, A vision of the brain ,(1993)
P.K. Simpson, Fuzzy min-max neural networks international joint conference on neural network. pp. 1658- 1669 ,(1991) , 10.1109/IJCNN.1991.170647
P. Smolensky, Information processing in dynamical systems: foundations of harmony theory Parallel distributed processing: explorations in the microstructure of cognition, vol. 1. pp. 194- 281 ,(1986)