Explore and edit the fingerprint of an expression
With our Topic Modeler, you can intuitively synthesize meaning by creating a highly customized semantic fingerprint. You just need to point and click the single dots corresponding to the topics you want to include or exclude.
With this tool, you can create a reference fingerprint that represents what you are interested in, what you are looking for: this is a great basis for a filter. The high throughput and fast responses delivered by the Retina API enable the application of this filter to any stream of text: mail messages, tweets, timeline entries, blog posts etc.
You can also use your reference fingerprint to create a filter to classify an existing set of documents. E.g. select all experts relevant to your industry area within LinkedIn profiles, or personalize the ranking of your result sets in a search engine. The filter can, of course, be saved to a file (in JSON format), and, if necessary, re-uploaded for further editing.
The Topic Modeler uses the underlying Cortical.io Retina API to obtain a semantic fingerprint of the input expression (representing 16,000 semantic features), which is rendered as an image.
Hovering the mouse over the image will cause a text box to appear displaying the terms associated with each particular pixel and help you get a feel for which meaning each of the pixels represents.
This semantic fingerprint is used to retrieve a list of similar terms related to the input expression. Clicking on any of the terms in the Input or Output section will highlight the features associated with the term in the fingerprint image. This will give you a feel for how individual words are represented by multiple features.
Begin by setting your input language from the list of available languages in the drop-down menu. Next replace the example expression in the Input section by entering a term or expression in order to create a semantic fingerprint for your topic of interest.
As you begin typing in the empty Input area, you will notice the display changes to show a list of commands and supported operators to build an expression:
As a second step you can begin editing your fingerprint. The Topic Modeler allows you to edit the 16,000 semantic features directly by modifying the image of the fingerprint using the following buttons:
Note: It is much easier to erase unwanted features than to add needed features. As a general rule, it is better to add needed features via the expression and then finely tune the fingerprint by deleting unwanted features using the Erase button on the fingerprint image.