Deep Learning Based Text Classification: A Comprehensive ...
semantic analysis (LSA) developed by Dumais et al. [1] in 1989. LSA is a linear model with less than 1 million parameters, trained on 200K words. In 2001, Bengio et al. [2] propose the first neural language model based on a feed-forward neural network trained on 14 million words. However, these early embedding models underperform
1998, Based, Texts, Classification, Learning, Deep, Deep learning based text classification
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