Supporting Researchers to Analyse, Discover and Succeed

The growing breadth and depth of text content has made research and data analysis more difficult. It’s harder to find answers, stay up to date on current topics and make connections between disparate data sources. That’s why text and data mining (TDM) has become a necessity. For many disciplines, using computer applications to “mine” data not only makes research easier, but leads to new discoveries and career-defining outcomes.

TDM helps researchers analyse documents, uncover topics of interest and identify patterns across millions of documents. It provides new ways to interrogate content and quickly get the answers. This requires better access to content and solutions that streamline the analysis process.

In this session, you’ll learn how one researcher is using TDM techniques to better understand how news coverage changes with transfers in business ownership. In addition, you will learn about a solution that is helping global researchers helped streamline the research and analysis process and develop insights more quickly.

About the Speaker:


John Dillon

John Dillon is the Text and Data Mining Product Manager for TDM Studio at ProQuest Information Solutions. His expertise is creating EdTech products which focus on data visualization, natural language processing, and data science.

He has also published papers on Sentiment Analysis, Machine Learning, and Learning Analytics. He has a PhD from the University of Notre Dame and has worked previously as a postdoctoral researcher with the University of Notre Dame, USAID, and IBM Research.


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