Journal ArticleDOI
Structure of semantic space
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This article is published in Sociological Methodology.The article was published on 1970-01-01. It has received 6 citations till now. The article focuses on the topics: Semantic computing & Semantic similarity.read more
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Contextual content analysis
TL;DR: The authors used computer content analysis to examine patterns of emphasized ideas in text as well as the social context or underlying perspective reflected in the text, and used a conceptual dictionary to organize word meanings to characterize and discriminate social contexts.
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Concept-Scale Interaction with the Semantic Differential Technique
TL;DR: In this article, adults in an interview setting were asked to evaluate two concepts, i.e., use of lake (a) as a source of electric power and (b) as recreational area, by means of eight seven-point scales.
Posted Content
Informational Space of Meaning for Scientific Texts.
TL;DR: Analysis of the Meaning Space provides a tool to further explore quantifying the meaning of a text using more complex and context-dependent meaning models that use co-occurrence of words and their combinations.
A Reconceptualization of Multiple Attribute Measurement: The Location of Unidimensional Scales in an N- Dimensional Space
TL;DR: In this paper, a dimensional model of judgment is proposed where concepts are represented as points in a multi-dimensional space, and the projections of each concept on the dimensions represent the values or magnitudes on that dimension.
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The styles of management inventory: A methodological analysis of a training and research instrument
TL;DR: In recent years several theoretical ideas have been advanced in the area of problem-solving and decision-making in administration, with a focus on "leadership" styles as discussed by the authors.
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The Measurement of Meaning
TL;DR: In this article, the authors deal with the nature and theory of meaning and present a new, objective method for its measurement which they call the semantic differential, which can be adapted to a wide variety of problems in such areas as clinical psychology, social psychology, linguistics, mass communications, esthetics, and political science.
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Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
TL;DR: The fundamental hypothesis is that dissimilarities and distances are monotonically related, and a quantitative, intuitively satisfying measure of goodness of fit is defined to this hypothesis.
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Nonmetric multidimensional scaling: A numerical method
TL;DR: The numerical methods required in the approach to multi-dimensional scaling are described and the rationale of this approach has appeared previously.
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A monte carlo investigation of the statistical significance of Kruskal's nonmetric scaling procedure
TL;DR: This paper provided estimates of the statistical significance of results yielded by Kruskal's non-metric multidimensional scaling, revealing the relative frequency with which apparent structure is erroneously found in unstructured data.