> Data Ninja > Text Analytics and Graph Databases - An Advantageous Combo

Text Analytics and Graph Databases - An Advantageous Combo

White Paper Published By: Data Ninja
Data Ninja
Published:  Apr 16, 2017
Type:  White Paper
Length:  16 pages

By adding structure to free text using text analytics and graph databases, text becomes valuable business data. This paper examines a real life use case in risk analysis. 
Text is a part of all communication channels from social media, documents, logs, and data bases.  In order to use the information from text, you need to extract the data in a way that provides useful information on entities, locations, organizations, and their properties. Graph databases are very powerful in showing the text relationships including the nearest neighbors, clusters, and the shortest paths. The combination of text analytics and graph databases can be used to solve business problems.

Tags : 

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept