357
edits
no edit summary
No edit summary |
No edit summary |
||
| Line 25: | Line 25: | ||
This is the graphic which is reduced the dimensions of the Word2Vec space down to x and y coordinates. Every dot represents a word. Dots that are closer together in a space mean that they are similar. | This is the graphic which is reduced the dimensions of the Word2Vec space down to x and y coordinates. Every dot represents a word. Dots that are closer together in a space mean that they are similar. | ||
[[File: | [[File:indexsimularca4.jpg|700px]] | ||
In order to get the 3 dimensional data from Word2Vec, I first reduced the dimensions to 3D then, extract the data as a csv table including x y z coordinates and the corresponding word. In principle, I need to know what Unity needs as input and figure out how I can generate the missing information. First solution was to convert .csv file to point cloud and open it in Unity using point cloud data Importer/Renderer. Here is the result: | In order to get the 3 dimensional data from Word2Vec, I first reduced the dimensions to 3D then, extract the data as a csv table including x y z coordinates and the corresponding word. In principle, I need to know what Unity needs as input and figure out how I can generate the missing information. First solution was to convert .csv file to point cloud and open it in Unity using point cloud data Importer/Renderer. Here is the result: | ||