Patent ID: 11886480
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for identifying an affect label of text with a gated convolutional encoder-decoder model, wherein the method includes one or more processing devices performing operations comprising:
receiving, at a supervised classification engine, extracted linguistic features of an input text and a latent representation of the input text;
predicting, by the supervised classification engine, an affect characterization of the input text using the extracted linguistic features and the latent representation, wherein predicting the affect characterization comprises:
normalizing and concatenating a linguistic feature representation generated from the extracted linguistic features with the latent representation to generate an appended latent representation; and

identifying, by a gated convolutional encoder-decoder model, an affect label of the input text using the predicted affect characterization.