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 assimilarity in patterns (correlations) and latent variables (factor analysis)has been enhanced by computer techniques and the use of statistics; forexample, in "Latent Semantic Analysis". This communication provides anintroduction, an example, pointers to relevant software, and summarizes thechoices that can be made by the analyst. Visualization ("semantic mapping") isthus made more accessible.
Description
[1011.5209] The semantic mapping of words and co-words in contexts
%0 Generic
%1 leydesdorff2010semantic
%A Leydesdorff, Loet
%A Welbers, Kasper
%D 2010
%K context semantics words ol_web2.0 widely_related
%T The semantic mapping of words and co-words in contexts
%U http://arxiv.org/abs/1011.5209
%X 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 assimilarity in patterns (correlations) and latent variables (factor analysis)has been enhanced by computer techniques and the use of statistics; forexample, in "Latent Semantic Analysis". This communication provides anintroduction, an example, pointers to relevant software, and summarizes thechoices that can be made by the analyst. Visualization ("semantic mapping") isthus made more accessible.
@misc{leydesdorff2010semantic,
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 assimilarity in patterns (correlations) and latent variables (factor analysis)has been enhanced by computer techniques and the use of statistics; forexample, in "Latent Semantic Analysis". This communication provides anintroduction, an example, pointers to relevant software, and summarizes thechoices that can be made by the analyst. Visualization ("semantic mapping") isthus made more accessible.},
added-at = {2011-02-17T17:42:41.000+0100},
author = {Leydesdorff, Loet and Welbers, Kasper},
biburl = {https://www.bibsonomy.org/bibtex/2cee25eef0438b6ac2998041dbd93016e/dbenz},
description = {[1011.5209] The semantic mapping of words and co-words in contexts},
file = {leydesdorff2010semantic.pdf:leydesdorff2010semantic.pdf:PDF},
groups = {public},
interhash = {ae82f513935ffa158395683303d52517},
intrahash = {cee25eef0438b6ac2998041dbd93016e},
keywords = {context semantics words ol_web2.0 widely_related},
note = {cite arxiv:1011.5209},
timestamp = {2013-07-31T15:39:42.000+0200},
title = {The semantic mapping of words and co-words in contexts},
url = {http://arxiv.org/abs/1011.5209},
username = {dbenz},
year = 2010
}