Do Not Disregard Salience
August 27, 2013
Here is a story for all of you object relational fans out there from the Lexalytics Development Blog: “Exploratory Text Analytics Using Object-Relational Mappings.” The post starts out explaining how salience, a process that examines content such as mention of a specific item or detecting a document’s tone, is a business intelligence tool with a lot potential. Many users, however, do not know what salience can actually do with their data. There is another problem is that salience is a low-level engine in any customer application and the user needs to design a better application to extract and analyze the data.
The good news is that there is a viable solution:
“…[A] couple of enabling technologies have been developed that allow customers to take the initial data analysis phase back into their own hands. The first enabling technology is that of automated object/relation mapping (ORM) frameworks. ORM frameworks store the internal data objects produced by object-oriented programming languages (like Java or C#) into a relational database, where they can be made accessible to any application. ORM frameworks have been around for decades, but they required (painful) manual configuration to set them up. Modern ORM frameworks now have automated mapping capabilities that them to configure themselves from the structure of the data objects. What this means for Salience is that is now easy to dump everything that Salience extracts—everything—into a database.”
The post runs through an ORM implementation and how to get a salience application set up. Salience sounds a lot like big data. Could this be the next big data trend, salience detection apps?
Whitney Grace, August 27, 2013
Sponsored by ArnoldIT.com, developer of Beyond Search
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