Word Embeddings Space Model

A Word Embeddings Space Model is a word vector space model that is a dense vector space model.

• Context:
  • It can (typically) be associated with Dense Word Vectors (possibly in a word embeddings dataset).
  • It can range from being a Dense Discrete Word Vectorization Function to being a Dense Continuous Word Vectorization Function.
  • It can be created by a Dense Word Vector Space Modeling Task.
• Example(s)
  • a Word Embedding Model.
  • a Dense Distributional Word Vectorization Model.
• See: Sparse Word Vectorizing Model.

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