Hierarchie

Hierarchie

follow us @decisiveui
http://mlvl.github.io/Hierarchie/#/

Hierarchie provides hierarchical navigation of the different topics or themes from text. These topics are discovered using a technique called Hierarchical Latent Dirichlet Allocation (HLDA), and are represented in the visualization as ordered lists of words, where the size of the word represents its 'importance' to the topic.

Hierarchie was created by the Machine Learning Visualization Lab for DECISIVE ANALYTICS Corporation. This implementation of a sunburst was based upon Sequences Sunburst by Kerry Rodden and Zoomable Sunburst by Mike Bostock.

For this prototype, we're displaying the results from tweets and Reddit comments collected during the first week of the disappearance of flight MH-370.

Add a Comment

Login or register to post comments
 
Posted May 13, 2014
 
Views: 6895
 
1
Tags MH-370, Reddit, topic modeling, Twitter
Tools AngularJS, d3.js
Data No data sets referenced yet.
Share
Embed
<iframe src="http://visualizing.org/embedded/335223" width="620" height="450" frameborder="0" scrolling="no" marginheight="0" marginwidth="0"></iframe>
Need help embedding?