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Conceptual Maps in R

Authors: Schweinberger, Martin;

Conceptual Maps in R

Abstract

This showcase tutorial demonstrates how to create conceptual maps — spring-layout visualisations of semantic similarity — in R using igraph, ggraph, and qgraph, covering three input types: word co-occurrence (PPMI), TF-IDF document-term matrices, and pre-trained GloVe word embeddings. It is aimed at researchers in corpus linguistics, cognitive linguistics, and digital humanities who want to visualise lexical fields, semantic clustering, and word relationships. This tutorial is part of the Language Technology and Data Analysis Laboratory (LADAL), a free, open-access research infrastructure at the University of Queensland. LADAL provides tutorials, tools, and courses for researchers working with language data. All materials are freely available at https://ladal.edu.au and are part of the Language Data Commons of Australia (LDaCA), funded by ARDC and NCRIS.

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