Arming information managers and research teams with tools and strategies
Text and Data Mining (TDM) is the automated process of selecting and analyzing large amounts of text or data resources in a way that can provide valuable information needed for studies and research projects. This includes searching for content, finding patterns, discovering relationships, semantic analysis, and learning how content relates to ideas and needs.
As the volume of scientific publications increase and TDM software tools improve, we are moving towards a more formalized process to enable TDM, and strive to make this as simple as possible for customers and researchers.
Interested in learning more? Check out some of the latest tools and resources Springer Nature has put together to best arm you and your researchers.