This application takes text data from multiple sources, and visualises that data in a way which shows how the words and documents are related.
It was originally designed to analyse conference papers, but can also be used for books, articles, blogs, reviews... basically anything that's text!
There are 2 ways you can visualise data with this app:
1) Word Cloud:The size of the word indicates how much it appears across all the documents.
Words are grouped into clusters according to how frequently they are mentioned together.
2) Semantic Surface Scatter plot showing each separate document as a point in a 3D space.
Documents that are close to each other in the plot are similar to each other. This gives you a view of how the documents are related in the project. Clicking on a point will show the document title.
Copyright 2015 The MathWorks Inc.
Totally love it! Thanks! :)
I want to make a citation for your work in my publication. Any suggestion ?
@Benjamin: I'm glad you like the app, but I'm not sure what you're asking for here? What table?
The source code is freely available on the project's github page here:
There is a more detailed description of how the data analysis algorithms work here too.
Is that what you're looking for?
it is awesome ;)
I just need to know how to enter in the code because I want to extract the table.
This is simply AWESOME!!! Thanks for making this happen.
Excellent, what I was looking for! I created several files with my favourite songs lyrics and now I have a beautiful marvelous cover image on facebook!
Ran the code to prepare for SEFI conference. People loved the outputs.
Looks powerful, but in MATLAB 2015a (Mac OS X) running on 2560 x 1440 display most text in uicontrols is too small to read, and the main GUI window position is not wide enough to contain the rightmost uicontrols (e.g, the pushbutton to the right of "Select File" is mostly cutoff). Should be an easy update to implement. Otherwise looks great, thanks!
Works like a charm. Used at SEFI Conference 2015 and (in an earlier version) at SEFI Conference 2014.
Edited main GUI to have better cross platform compatibility.
Fixed description to remove HTML.
Updated screenshot and description
Download apps, toolboxes, and other File Exchange content using Add-On Explorer in MATLAB.