Semantic analysis (machine learning)
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In
symbol grounding. If language is grounded, it is equal to recognizing a machine readable meaning. For the restricted domain of spatial analysis, a computer based language understanding system was demonstrated.[2]
: 123
PLSI
.
Latent Dirichlet allocation involves attributing document terms to topics.
hidden Markov models work by representing the term stream as a Markov chain
where each term is derived from the few terms before it.
See also
- Explicit semantic analysis
- Information extraction
- Semantic similarity
- Stochastic semantic analysis
- Ontology learning
References
- ISBN 978-1-4200-8593-8.
- ISBN 978-3-946234-14-2.
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