The similarity analysis feature in discourses, is an analytical tool of the IRAMUTEQ software. As a result, a tree diagram is generated which can be configured as a Venn diagram. However, the groups of words by similarity starting from a dominant word to the child words, using the co-occurrence principle. In discourse analysis, the semantic domains are checked and the derived words follow the same principle. In this case, in what aspects does IRAMUTEQ's similarity analysis differ from semantic domains in discourse analysis?
Discourse analysis is an analysis concentrating on what is said in the course of a dialogue, giving thereby spatial and temporal boundaries to the occurrence of such an exercise made up from statements, etc. Pragmatics is an analysis of an unspecified amount of communication acts in terms of factors that affect the details of the actual communicative process or product, such as social conventions and other aspects that do not directly govern the syntax of communiques. Semantic analysis is the exploration of the underlying meaning of sentences and arguments that are deemed to be propositions, which in turn are regarded meaningful if they have a truth value.
I believe it is possible to do the same type of analysis using R. Could anyone suggest a script that would make this analysis possible?
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