Intertopic Distance with Word2Vec

This component allows to visually represent a topic mode using a Word2Vec neural network.

It creates a distance matrix based on the word topic weight and it decomposes this matrix by using the multimensional scaling (MDS), allowing a visual representation in a lower dimensional space.

Input ports

1. Type: Table
   Table with original text document
   Table with document column
2. Type: Table
   Topic terms
   Output table from "Topic Extractor" (Parallel LDA) node
3. Type: Table
   Document Table with topics
   Document Table with topics

Output ports

1. Type: Image
   Bubble Chart with Intertopic Distance
   Bubble Chart with Intertopic Distance