The Natural Semantic Metalanguage (NSM) technique of semantic analysis is used throughout, and it is argued that this methodology provides an effective tool in the exploration of ethnogeographical categories.
(See the previous post on Adaptive Blue for an example of semantic analysis put arguably to better use).
Propositional analysis is a method of semantic analysis developed in cognitive science to represent linguistic information, which has been used previously in biomedicine (12– 12).
Sentiment analysis is subset of semantic analysis.
We validate the use of Latent Semantic Analysis for discovering architectural knowledge by comparing the resulting vector-space model with the mental model of documentation that auditors possess.
SymText and its successor, MPLUS, make extensive use of semantic networks for semantic analysis.
Previously, we developed a method and web-tool called Gene-set Cohesion Analysis Tool (GCAT) which determines the functional cohesion of gene sets using latent semantic analysis of Medline abstracts [ 40].
We recently investigated the use of semantic workflows with the analysis of multi-omics data and found that the encapsulation of multi-step omics analysis methods within a semantic framework resulted in a transparent, reproducible, and semantically validated analysis framework [ 27], making semantic workflows a potential viable candidate for clinical omics.
But unlike some of its competitors, which there are now many of, News360 uses semantic analysis to deliver the most relevant news of the day, including stories about your favorite topics from your favorite sources.
Looking at 1,500 tweets in the space of two days, he used basic semantic analysis to identify the proportion of tweets that mentioned the word 'rape' with negatively (20%), positively (40%) and neutrally (40%) as well as the word 'victim' (68% neutral, 16% negative and 16% positive).
