The Heat in Text Radar: January 18 to January 24
January 29, 2013
This week, the Text Radar advanced intelligence blog covered trending stories related to big data, content intelligence and compliance.
“Natural Language Processing has a Future in Big Data” offers an alternative measure to size to judge data by. The article says that simply recognizing big data is not enough, the value comes from what you do with it.
Text Radar writer, Alice Wilson remarks:
“Some IBM analytics tools available are discussed, but the author points out cognitive systems that employ natural language processing have a future in big data. He adds that the key is being able to put the language and information in context to draw meaning from it, especially from social media data.”
Another noteworthy story is, “Microtargeting Helping Low Income Qualified Students Find Quality Education.” According to the article, there has been a push for campuses to increase socio-economic diversity. However, finding low-income students with top grades and SAT scores can be somewhat like picking a needle in a haystack.
This is where microtargeting and data analytics comes into play:
“Many organizations have been helped with this technology. Perhaps schools could benefit with this technology to find talented students so they don’t slip through the cracks. Smartlogic has helped many organizations with their microtargeting efforts. The ontology-based smart content classification system allows organizations to enhance content and create feeds of highly-personalized information so that meaningful information is searchable and found.”
Higher education is not the only field that has benefitted from microtargeting. “Microtargeting and Big Data Analytics Helps Obama Win the Election” explains how the 2012 Obama campaign capitalized on the volume and variety of data via social network avenues to “microtarget” voters in real time.
Todd Thibodeaux, president and CEO at CompTIA Inc. in Downers Grove, Illinois explains how microtargeting was used to actually change voters minds:
“It was almost as if one group was trying to make things happen with the use of their data, and the other group was trying to figure out what to do based on what had already happened, referring respectively to the Obama and Romney campaigns. Historical data may not be as useful as it used to be in some of these contexts.”
Turning social media and other unstructured data into valuable insights can be quite the task for many businesses. Luckily, Smartlogic has created the Semaphore Content Intelligence Platform with entity and subject identification capabilities. Semaphore can read text and extract entities like companies, people, and locations.
Jasmine Ashton, January 29, 2013