Text-Item Vectorization Structure

A Text-Item Vectorization Structure is a vectorization structure that can create text item vectors from text items.

• AKA: Text Item Vector Model.
• Context:
  • It can be produced by a Text Item Vectorization Task.
  • It can be an input to a Semantic Vector Mapping Function.
• Example(s):
  • Bag-of-Words Vectorization Structure.
  • …
• Counter-Example(s):
  • DNA Sequence Vectorization Model.
• See: Vector Space, Information Filtering, Information Retrieval.

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References

2015

• (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/Vector_space_model Retrieved:2015-2-1.
  • Vector space model or term vector model is an algebraic model for representing text documents (and any objects, in general) as vectors of identifiers, such as, for example, index terms. It is used in information filtering, information retrieval, indexing and relevancy rankings. Its first use was in the SMART Information Retrieval System.

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