Text and Data Mining Solutions for Modern Research Needs
What is Text and Data Mining (TDM) and how does it work?
TDM refers to the process of extracting meaningful information and patterns from large volumes of text and data. It involves using computational techniques to analyze and identify relationships, trends, and insights within the collected information. TDM enables researchers to uncover valuable knowledge and make data-driven decisions more efficiently.
Researchers are heavily dependent on peer-reviewed research to drive significant advancements. With the ever-expanding volume of valuable information becoming available daily, any fragment of it could hold the key to the next breakthrough.
Recognizing this, organizations worldwide are increasingly leveraging machine analysis to extract, identify, and apply insights from vast article collections to their ongoing research. Machine-readable articles are paving the way for enhanced knowledge and accelerated R&D.
To facilitate this transition towards digital innovation, Springer Nature offers you the opportunity to access our corpus in formats optimized for TDM and machine learning, enabling more efficient exploration and utilization of scientific literature.
| Collaboration with Researchers Springer Nature wants to actively collaborate with researchers to develop and refine TDM solutions. By engaging with the research community, we can understand specific needs and incorporate valuable insights, resulting in TDM services tailored to researchers' requirements. | Extensive, world-leading research at your fingertips Springer Nature has a vast collection of academic journals, books, protocols and reference works covering a wide range of disciplines. This expansive content repository provides researchers with diverse and comprehensive sources for TDM analysis. |
Compliant Data Usage | User-Friendly Interface and Tools |
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Listen now to our interview with Jonnie Hauswirth, Rachel Wangerin and Jennifer Nelson from 3M’s Knowledge Discovery & Analytics Group talk about their roles in TDM initiatives and how they’ve raised awareness — and gained recognition — for their team by applying their unique expertise to help develop creative solutions for their users.
Listen now to our interview with Springer Nature’s Robin Padilla, Director of Product Management for Data and Analytics Solutions, as he talks about the TDM initiatives that Springer Nature has been developing for clients as well as for internal projects.
