Vectorized Document
(Redirected from Mention Vector)
Jump to navigation
Jump to search
A Vectorized Document is a text-item vector that represents a text document.
- Context:
- It can (typically) represent a Document Record.
- It can (typically) be produced by a Document Vectorizing Function.
- It can be used for: Information Retrieval, Document Clustering, Document Classification, ...
- Example(s):
- a Bag-of-Words Document Vector, such as
[27,11,16,...,0,0]
⇐ f("It was the best of times, it was ..."), - a Distributional Document Vector.
- …
- a Bag-of-Words Document Vector, such as
- Counter-Example(s):
- a Document Word Vector??
- a Passage Vector.
- a Word Vector, such as:
[0.128,0.208,0.008]
⇐ f("Queen"). - a Document Tuple.
- See: Document Clustering, Document Classification.