Blog: Text Mining Open-Ended Responses to Improve Employee Engagement Survey

  Engaged employees are better employees. Studies have shown they are more productive, take fewer sick days and have fewer work-related injury or illness.  The U.S. Merit Systems Protection Board (MPSB) has found that departments and programs with more engaged employees perform better. Measuring employee engagement is important so that management can take steps to boost overall employee engagement to prescribed levels or to take actions if it begins to slide. As jobs change, new technology and other factors are introduced into the workplace...

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Text Analytics in Practice: Identifying Dated and Redundant Government Regulations

  Ok, we acknowledge from the get-go that government regulation isn’t the sexiest topic on the planet. But what if we told you there is a tool/technique that can help us reduce or at least streamline the amount of government regulations we have on the books? Good idea? We think so.  The technique is text analytics and the tools could be software like QDA Miner and WordStat. A team of analysts and data scientists at Deloitte has written the following article “Using Advanced Analytics to Drive Regulatory Reform.” The analysis was done on The Code of...

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Analyzing Online Comments about Refugees with QDA Miner

Immigration, immigrants and refugees are a popular topic around the world these days. It is a topic with wide-ranging points of view and comments are often loaded with emotion. In the book, Representing the Other in European Media Discourse,  Dr. Liisi Laineste, Senior Researcher, Estonian Library Museum, Tartu University contributes Chapter 12, “Othering in Estonian Online Discussions about Refugees.” The chapter is the result of an analysis of the 2015 refugee crisis in Europe in anonymous and non-anonymous Estonian public forums. The...

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