Document Analysis

Document Analysis uses Knowledge Files as source material for structured semantic and causal workflows in BayesiaLab. A Knowledge File is a file added as detailed LLM context, complementing the General Context you provide for the task.

Use Document Analysis when the source of knowledge is a report, article, transcript, paper, case study, corpus, or other file rather than a short prompt.

Function Comparison Table

Function	Best for	Input	Output	Notes
Semantic Flowchart Generator	Sequence or process logic in text	Selected text and/or Knowledge File content	Graph of sequential semantic relationships	Use when order matters.
Causal Semantic Diagram Generator	Causal claims or mechanisms in text	Selected text and/or Knowledge File content	Graph of causal semantic relationships	Use before probabilistic quantification.
Knowledge Graph Generator	Entities and semantic associations	Knowledge File	Entity or relation graph	Available in BayesiaLab 11.6 and later.
Propositional Causal Bayesian Network Generator	Probabilistic causal model from documents	Knowledge File content	Causal Bayesian Network or Risk-Centric Causal Network	Review generated effects, CPTs, and root priors before use.
Semantic Network Generator	Semantic proximity among document-derived concepts	Knowledge File and selected keywords	Extracted dimensions, embeddings, learned Semantic Network	Useful for thematic mapping.
Doc-to-Node Generator	Multi-document corpora	Selected Knowledge Files	One node per document, comments with file content, optional Semantic Network	Useful for document-level maps.