Example displays of the Topic Modelling tab of the Explore section of the application for extraction and display of information from free-text wildlife necropsy data.

Sliders in the sidebar allow the user to manipulate the number of topics and the number of words rendered per topic within the word cloud. 5a shows two topics, 5b shows 6 topics, and 5c shows 3 topics each with equivalent numbers of words per topic. Data presented in these images are derive...

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Bibliographic Details
Main Author:	Stefan Saverimuttu (20882325) (author)
Other Authors:	Kate McInnes (7520158) (author), Kristin Warren (3339657) (author), Lian Yeap (21221659) (author), Stuart Hunter (2498485) (author), Brett Gartrell (6325817) (author), An Pas (12001965) (author), James Chatterton (20347204) (author), Bethany Jackson (3339660) (author)
Published:	2025
Subjects:	Biochemistry Cell Biology Ecology Cancer Biological Sciences not elsewhere classified Information Systems not elsewhere classified quantify positive occurrences latent dirichlet allocation foundational methods employed final section uses interrogate data dynamically wildbase pathology register mining techniques offer wildlife necropsy data text clinical reports uploaded data necropsy records medical pathology mining calculations mining approaches word correlations timely access three sections tailoring analyses subsequent actions subjective sense specific needs principles underlying population within manual review large volumes knowledge acquisition generate visualisations first allows custom rule consuming process close reading based algorithm
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Example displays of the <i>Topic Modelling</i> tab of the <i>Explore</i> section of the application for extraction and display of information from free-text wildlife necropsy data.

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