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The resulting configurations of texts\/indicators differ from one another according to their meaning, expressed in terms of co\u2010ordinates of a semantic field. We suggest that by using principal component analysis, one can design a user\u2010friendly semantic space which can be navigated. Further, to learn the names of embedded magnitudes in semantic space, the idea of conceptual clustering is used in a broader context. This is a two\u2010mode statistical approach, grouping both documents and their index terms at the same time. 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