Blog Archives - Page 2 of 10 - Provalis Research

Analyzing Online Comments about Refugees with QDA Miner

by Alain Forget | January 10, 2018

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...

Reducing Fraud: Text Analytics in the Insurance Industry

by Alain Forget | December 15, 2017

Insurance fraud is a worldwide problem. The numbers are staggering. According to the FBI, in the U.S. alone, insurance fraud (ex healthcare) costs Americans $40 billion a year. That works out to $400-to-$700 per family. That means higher premiums. So how do companies crack down on fraud? How can they ferret it out? One of the tools in their tool box is, or should be, text analytics. Insurance companies collect massive volumes of text data every day from customers, agents, adjusters, health care professionals, hospitals, government agencies, police,...

A good example of QDA Miner’s analysis and visualization features

by Tony Ross | December 1, 2017

Mission statements are an important strategic management tool for many companies, large and small. Well crafted, they serve as a quick reference to internal and external stakeholders as to what a company is and what it does. They can help leadership and employees formulate a strategic direction around common goals and values. Mission statements, their impact, value, important components, audiences etc have been studied by academics for many years. In their paper Stakeholder Orientation in Cruise Lines’ Mission Statements, Lara Penco and Giorgio...

Using Text Analytics at Work: Suicide Prevention and Crisis Management

by Adam | October 19, 2017

Today “texting” is one of the principal means of communication for many people the world over, especially in the United States. It is also a form of communication that you can engage in relatively anonymously. These were a couple of the reasons why the non-profit, Crisis Text Line was started in 2013. One of the first people the new CEO Nancy Lublin hired, was a chief data scientist because there is a wealth of knowledge in all the text data being created that allows CTL to manage its operations more effectively by identifying people in immediate...

Using Automated Content Analysis and Topic Modeling Approach to Discover: Who is the International Community?

by Tony Ross | October 13, 2017

Today’s headlines are filled with international stories about nuclear proliferation, climate change accords, free-trade agreements and other global issues. Embedded in these reports are frequent references to, the international community. For example, a recent headline claimed that in his speech to the UN General Assembly, U.S. President Donald Trump praised the international community for voting for sanctions against North Korea. Trump did praise UN members for voting for sanctions but he never uttered the term, international community. Still, the...

Some Keys to a Successful Tech Startup

by Amanda Robinson | October 11, 2017

Montreal, Canada’s second largest city, known for its European flair, its culinary prowess, and its many festivals, is also home to Provalis Research. We are very proud of our city, and one of the things that makes us proudest is the tech scene. Major players are converging on Montreal because of its burgeoning AI scene. Yoshua Bengio, one of the trailblazers of deep-learning, put Montreal on the AI map with his research at the University of Montreal and the launch of Element AI, an artificial intelligence lab, in 2016. Facebook and Samsung have...

Analyzing Online Comments about Refugees with QDA Miner

Reducing Fraud: Text Analytics in the Insurance Industry

A good example of QDA Miner’s analysis and visualization features

Using Text Analytics at Work: Suicide Prevention and Crisis Management

Using Automated Content Analysis and Topic Modeling Approach to Discover: Who is the International Community?

Some Keys to a Successful Tech Startup

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