Over a million developers have joined DZone.

Hunting Trolls with Neo4j

· Database Zone

Speed up your development and test cycles with fully automated data delivery, view a 10 minute demo, brought to you in partnership with Delphix.

trolls600

Allison Sparrow shared a link to Patentula, a company interested in finding better ways to explore patent data and hunt patent trolls. What caught my attention is this quote from the video below:

What we tried to do with it, is bypass any sort of keyword processing in order to find similar patents. The reason we’ve done this is to avoid the problems encountered by other systems that rely on natural language processing or semantic analysis simply because patents are built to avoid detection by similar keywords…we use network topology (specifically citation network topology) to mine the US patent database

in order to predict similar documents.


When dealing with a large text dataset, most folks jump right into NLP and semantic analysis, it’s interesting to learn when that’s not such a good idea.

Check out the full video:

 

… and if you wanted to see just how exciting troll hunting can be: 

>8-]

 

 

 

Learn how test data on demand can lead to faster application development, read the IDC white paper, brought to you in partnership with Delphix.

Topics:

Published at DZone with permission of Max De Marzi , DZone MVB .

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}