Abstract
This chapter aims to show how external information contributes in analysing a lexical table by enriching the readability of factorial maps. The theoretical frame is given by principal component analysis onto a reference subspace, a method based on the orthogonal projection of a correlation structure on the space spanned by an external set of explanatory variables. In previous papers the idea of a projected lexical analysis has been introduced by using a single reference space for terms. Here we consider a double projection strategy by involving external informative structures both on documents and terms, i.e., on rows and columns of a lexical table.
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Balbi, S., Misuraca, M. (2010). A Doubly Projected Analysis for Lexical Tables. In: Skiadas, C. (eds) Advances in Data Analysis. Statistics for Industry and Technology. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4799-5_2
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DOI: https://doi.org/10.1007/978-0-8176-4799-5_2
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