Vector Space Model

Parameters

255K

Published

Jun 19, 2011

Vector Space Model is an AI model developed by Stanford University (United States), first published in June 2011. It works in the language domain, on tasks such as semantic embedding and sentiment classification.

Epoch AI has no training-compute estimate for this model. The model has 255,000 parameters. It was trained on roughly 5.7M datapoints.

Epoch AI rates the confidence of this record as confident.

Full record

Organization: Stanford University
Country of organization: United States
Domain: Language
Task: Semantic embedding, Sentiment classification
Parameters: 255,000
Dataset size: 5.7M
Epoch confidence: Confident