The semantic mapping of words and co-words in contexts

L. Leydesdorff; K. Welbers

doi:10.1016/j.joi.2011.01.008

The semantic mapping of words and co-words in contexts

L. Leydesdorff, K. Welbers

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

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. © 2011 Elsevier Ltd.

Original language	English
Pages (from-to)	469-475
Number of pages	7
Journal	Journal of Informetrics
Volume	5
Issue number	3
Early online date	16 Feb 2011
DOIs	https://doi.org/10.1016/j.joi.2011.01.008
Publication status	Published - 2011

Access to Document

10.1016/j.joi.2011.01.008

Fingerprint Dive into the research topics of 'The semantic mapping of words and co-words in contexts'. Together they form a unique fingerprint.

Cite this

@article{6ba6770c134e4c2097a0aac294813144,

title = "The semantic mapping of words and co-words in contexts",

abstract = "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. {\textcopyright} 2011 Elsevier Ltd.",

author = "L. Leydesdorff and K. Welbers",

year = "2011",

doi = "10.1016/j.joi.2011.01.008",

language = "English",

volume = "5",

pages = "469--475",

journal = "Journal of Informetrics",

issn = "1751-1577",

publisher = "Elsevier BV",

number = "3",

}

TY - JOUR

T1 - The semantic mapping of words and co-words in contexts

AU - Leydesdorff, L.

AU - Welbers, K.

PY - 2011

Y1 - 2011

N2 - 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. © 2011 Elsevier Ltd.

AB - 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. © 2011 Elsevier Ltd.

U2 - 10.1016/j.joi.2011.01.008

DO - 10.1016/j.joi.2011.01.008

M3 - Article

VL - 5

SP - 469

EP - 475

JO - Journal of Informetrics

JF - Journal of Informetrics

SN - 1751-1577

IS - 3

ER -