| Question
1:
How does RefViz analyze text?
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| Answer: RefViz uses mathematical algorithms to divide a set of papers into concept-based groups. Starting with the vocabulary determined from the title and abstract/notes fields for each set of references, RefViz uses a statistical model to find key concepts. Unlike other literature sorting applications that use pre-defined rules, RefViz defines key themes based on the context of the entire set being evaluated.
Ref Viz sorts references into groups in the following steps:
- Identifies words that represent key concepts, primary and secondary, for a reference set.
- Uses the key concepts to create a mathematical signature for each document.
- Applies standard mathematical clustering algorithms to partition the document set into groups of similar papers.
The result is a much richer comparative analysis than a simple categorization of documents based on word counts. Coupling this with powerful visualization methods provides rapid insight into large reference collections.
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