Domain: Domain
In mpia: Meaningful Purposive Interaction Analysis

Description Usage Arguments Value Author(s) References See Also Examples

This class encapsulates fields and methods for processing and storing social semantic vector spaces: a given corpus of texts is analysed to derive an Eigenbasis such that their first Eigenvalues explain 80% of the total stretch needed to expand its eigenvectors to the mapping provided by the raw document-term matrix (constructed over the input corpus).

Through this approximation, the input corpus is lifted up to a more semantic representation, thus allowing to investigate the nature of the associative closeness relations of its term vectors, document vectors, or any of their combinations used in representing competence positions and performance locations of a Person or groups.

1	Domain(name='', ...)

`name`	A human-readable name (preferably unique).
`...`	Any additional arguments.

Returns the object.

Fridolin Wild <wild@brookes.ac.uk>

Fridolin Wild (2016): Learning Analytics in R with SNA, LSA, and MPIA, Springer:Berlin.

More detailed information: Domain-class, plot, toponymy, Performance, Person, Visualiser

	d = Domain(name="test")
	evidence = TermDocumentMatrix( Corpus( VectorSource( c("abc abc def",
        "def def ghi", "ghi ijk, lmno", "pqrs tuv wxyz") ) ) )
	d$corpus(evidence)
	d$spacify()