The semantic mapping of words and co-words in contexts

被引：96

作者：

Leydesdorff, Loet ^{[1
]}

Welbers, Kasper ^{[1
]}

机构：

[1] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, NL-1012 CX Amsterdam, Netherlands

来源：

JOURNAL OF INFORMETRICS | 2011年 / 5卷 / 03期

关键词：

Semantic; Map; Document; Text; Word; Latent; Meaning; PEARSONS CORRELATION-COEFFICIENT; AUTHOR COCITATION ANALYSIS; COMMUNICATION; SCIENCE; ORGANIZATION; INDICATORS; NETWORKS;

D O I：

10.1016/j.joi.2011.01.008

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Meaning can be generated when information is related at a systemic level. Such a system can be an observer, but also a discourse, for example, operationalized as a set of documents. The measurement of semantics as similarity in patterns (correlations) and latent variables (factor analysis) has been enhanced by computer techniques and the use of statistics; for example, in "latent semantic analysis". This communication provides an introduction, an example, pointers to relevant software, and summarizes the choices that can be made by the analyst. Visualization ("semantic mapping") is thus made more accessible. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：469 / 475

页数：7

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