Text-Item Vector

A Text-Item Vector is a vector-based representation of a text item.

• Context:
  • It can (typically) be a Fixed-Length Vector Representation.
  • It can (often) be generated by a Text-Item Vector Generation Function, such as a neural text-item space.
  • It can range from being a Morpheme Vector, a Word Vector, a Phrase Vector, a Sentence Vector, a Passage Vector, a Document Vector.
  • It can be produced by a Text-Item Vector Function (that defines a text-item vector space).
  • It can range from being a Sparse Text-item Vector to being a Dense Text-Item Vector.
  • ...
• Example(s):
  • a Neural Text-Item Embedding Vector, such as: a neural document embedding vector or a BERT-based embedding vector.
  • an Distributional Co-Occurrence Text-Item Vector, such as a distributional word vector.
  • a Bag-of-Words Document Vector.
  • a Book Vector.
  • …
• Counter-Example(s):
  • a DNA Vector.
  • a Text Item Class.
• See: Ontology, Semantic Map.

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