Registration Fee: 450 (USD 15)
26 October, 2025
4:00 PM- 6:00 PM
About the Workshop
IRaMuTeQ is a free, open-source software that supports lexicometric and text mining analyses of large textual datasets. In the context
of Systematic Literature Reviews (SLR), it helps transform large volumes of article abstracts, titles, and keywords into meaningful patterns,
themes, and clusters. This enables researchers to identify research streams, thematic structures, and gaps with greater precision.
· Word Frequency & Lexical Analysis → Identifies most frequent terms, vocabulary richness, and distribution of concepts.
· Descending Hierarchical Classification (DHC) → Groups text into clusters/themes, revealing dominant research areas.
· Similarity Analysis (Co-occurrence Networks) → Maps relationships between keywords and concepts.
· Correspondence Factor Analysis (CFA/FCA) → Visualizes associations between themes, words, and metadata.
· Word Clouds & Graphical Summaries → Quick visual insights into research trends.
· Thematic & Discourse Analysis → Supports interpretation of conceptual structures in literature.
Dr Haroon Iqbal Maseeh (Griffith University, Australia)