Hellixia Dimension Elicitor Keywords
Context
In this section, we demonstrate how Hellixia can be utilized to form a semantic network from the 145 keywords provided by the Dimension Elicitor, illustrating the semantic connections between these keywords.
Workflow for Creating the Semantic Network
Create a node for each keyword by importing a CSV file where all the keywords are located on the first line, followed by a ‘0’ on the second line and a ‘1’ on the third line for each keyword. This structure will help BayesiaLab interpret these columns as variables.
Once you have created your nodes, select them all and use the Embedding Generator. This tool will capture the semantic meaning associated with the node names.
Use the Maximum Weight Spanning Tree algorithm to learn the semantic relationships between these nodes (variables). This algorithm will create the most significant connections between the nodes, forming a tree structure that maximizes the total weight of the tree.
Apply the Symmetric Layout algorithm to the nodes for automatic positioning. This will organize your nodes in a visually clear and understandable way. Switch to Validation Mode F5 and conduct a Node Force Analysis.
