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.

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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.

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.
Causal 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.

Common Workflow

Add the source file or files as Knowledge Files.
Add General Context if the documents need domain framing or scope constraints.
Select any required nodes, text, keywords, or Knowledge Files.
Open the appropriate function under Hellixia > Document Analysis.
Generate the artifact.
Review the graph against the source material and edit it before downstream analysis.

Document Analysis Function Index

Menu path	Function	Best for	Inputs	Outputs	Status
Hellixia > Document Analysis	Document Analysis	Reports, articles, transcripts, multi-document source material	Knowledge File(s), optional selected nodes or text, optional General Context	Structured graph artifacts depending on the selected generator	Complete
Hellixia > Document Analysis > Semantic Flowchart Generator	Semantic Flowchart Generator	Narratives, procedures, process descriptions	Knowledge File content, optional selected node name, long name, or comment	Semantic Flowchart	Complete
Hellixia > Document Analysis > Causal Semantic Diagram Generator	Causal Semantic Diagram Generator	Causal narratives, mechanism extraction, pre-Bayesian causal mapping	Knowledge File content, optional selected node name, long name, or comment	Causal Semantic Diagram	Complete
Hellixia > Document Analysis > Knowledge Graph Generator	Knowledge Graph Generator	Entity and relation extraction, source-material exploration	Knowledge File	Knowledge Graph	Complete
Hellixia > Document Analysis > Causal Network Generator	Causal Network Generator	Document-derived Causal Bayesian Networks, risk-centric models	Knowledge File content, optional General Context	Nodes, causal links, mechanism comments, causal effects, conditional probability tables, root priors	Complete
Hellixia > Document Analysis > Semantic Network Generator	Semantic Network Generator	Semantic proximity among document-derived concepts, theme discovery in source material	Knowledge File, selected keywords, optional General Context	Extracted dimensions, embeddings, learned Semantic Network	Complete
Hellixia > Document Analysis > Doc-to-Node Generator	Doc-to-Node Generator	Multi-document corpora, document-level semantic maps	Selected Knowledge Files	Document nodes, comments containing file content, optional embeddings, optional Semantic Network	Complete