Automatic Semantic Network Generator

Menu path: Hellixia > Automatic Semantic Network Generator

What it does

Extracts dimensions related to a question, generates embeddings, builds a dataset, and learns a semantic network.

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

Domain exploration
Theme discovery
Semantic proximity mapping

Inputs

Question
Keywords
Optional General Context

Outputs

Dimensions
Embeddings
Dataset
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 > Automatic 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.

Examples

Philosophy — Semantic Network, Knowledge Graph, or Causal Semantic Diagram
Cinema — Semantic Network or Causal Semantic Diagram
Animals — Dimension elicitation, Semantic Network, or enriched comments
Tutorials and Webinars — Multiple Hellixia artifacts