Text-Item Embedding Encoder

A Text-Item Embedding Encoder is a sequential data encoder that accepts text items and produces text-item embeddings (to define a text-item embedding space).

• Context:
  • It can (typically) reference a Text-Item Embedding Model (which together define a text-item embedding space).
  • ...
• Example(s):
  • a Word Embedding Encoder, such as a Word2Vec encoder.
  • a Sentence Embedding Encoder, such as an S-BERT encoder.
  • OpenAI.Embeddings API Endpoint.
  • ...
• Counter-Example(s):
  • Image Encoder, for image data.
  • Sound Encoder, for audio data.
• See: Word Embedding, Sentence Embedding, Document Embedding, Embedding Space, Vector Space Model, Deep Learning.

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