Recursive sentiment autoencoder

Published

Jul 1, 2011

Recursive sentiment autoencoder is an AI model developed by Stanford University (United States), first published in July 2011. It works in the language domain, on tasks such as text classification.

Epoch AI has no training-compute estimate for this model. It was trained on roughly 31.7K datapoints.

The reference paper has 1,477 citations.

Full record

Organization: Stanford University
Country of organization: United States
Domain: Language
Task: Text classification
Dataset size: 31.7K
Citations: 1,477