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Semisupervised Autoencoder for Sentiment Analysis

Semisupervised Autoencoder for Sentiment Analysis that reduces bias and requires minimal training Background: They act as the feature learning methods by reconstructing inputs with respect to a given loss function. In a neural network implementation of autoencoders, the hidden layer is taken as the learned feature. While it is often trivial to...

Published: 4/18/2024 | Inventor(s): Shuangfei Zhai, Zhongfei Zhang

Keywords(s): #SUNYresearch, Technologies

Category(s): Technology Classifications > Artificial Intelligence, Campus > Binghamton University