2 research outputs found
BowTie - A deep learning feedforward neural network for sentiment analysis
How to model and encode the semantics of human-written text and select the
type of neural network to process it are not settled issues in sentiment
analysis. Accuracy and transferability are critical issues in machine learning
in general. These properties are closely related to the loss estimates for the
trained model. I present a computationally-efficient and accurate feedforward
neural network for sentiment prediction capable of maintaining low losses. When
coupled with an effective semantics model of the text, it provides highly
accurate models with low losses. Experimental results on representative
benchmark datasets and comparisons to other methods show the advantages of the
new approach.Comment: 12 pages, 7 figures, 4 table