Semantic Network Generator
Menu path: Hellixia > Document Analysis > Semantic Network Generator
What it does
Learns a Semantic Network from Knowledge File content using extracted dimensions and embeddings.
Treat Hellixia output as a structured starting point for analyst review, expert refinement, learning, inference, or communication. Generated causal directions and quantification should be checked before they are used operationally.
When to use it
- Semantic proximity among document-derived concepts
- Theme discovery in source material
Inputs
- Knowledge File
- Selected keywords
- Optional General Context
Outputs
- Extracted dimensions
- Embeddings
- Learned Semantic Network
Step-by-Step Workflow
- Prepare the network, source material, selected nodes, selected arcs, or Knowledge Files required by the function.
- Confirm that Hellixia provider settings and model access are configured.
- Open
Hellixia > Document Analysis > Semantic Network Generator. - Review the available options and add General Context when the model needs domain-specific guidance.
- Run the function and inspect the generated graph, comments, priors, embeddings, translations, or images.
- Edit the output in BayesiaLab before using it for analysis, publication, or decision support.
Review Guidance
Check whether the generated labels, relationships, comments, classes, probabilities, or causal effects match the source material and expert understanding. For causal outputs, verify that the proposed direction and mechanism are plausible and that no important confounder or alternative explanation has been hidden by the generated structure.
Related Functions
Examples
- Literature — Semantic Flowchart, Knowledge Graph, or Semantic Network