Motivation and Ideas
How?
I
embed objects into vector space (Hilbert space) in such a way
that semantic relationships between objects are reflected in
geometric relationships of their images
I
most importantly: “semantic distance” between objects
correlated to geometric distance
Why?
I
standard machine learning algorithms operate on vector
representations of data
I
enable a quantitative analysis using mathematical techniques
ranging from linear algebra to functional analysis
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