The paper aims at proposing a method allowing to take into account information on context, when we are analysing lexical tables by means of factorial techniques, as Correspondence Analysis. Such a kind of information, external to the main data structure, can concern where and how words are used, but, moreover, can concern their (syntactical, grammatical, etc.) role inside the corpus. Here a methodological tool has been proposed: a technique based on projections on subspaces spanned by two sets of variables related to fragments and words. The matrix to be analysed, called inter-reference matrix, measures the importance of the association between the external information on words and fragments. The final outputs are graphical representations that enrich the results of textual data analysis.

A Factorial Technique for Analysing Textual Data with External Information

BALBI, SIMONA;
2001

Abstract

The paper aims at proposing a method allowing to take into account information on context, when we are analysing lexical tables by means of factorial techniques, as Correspondence Analysis. Such a kind of information, external to the main data structure, can concern where and how words are used, but, moreover, can concern their (syntactical, grammatical, etc.) role inside the corpus. Here a methodological tool has been proposed: a technique based on projections on subspaces spanned by two sets of variables related to fragments and words. The matrix to be analysed, called inter-reference matrix, measures the importance of the association between the external information on words and fragments. The final outputs are graphical representations that enrich the results of textual data analysis.
9783540414889
9783642594717
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/169772
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