Text and Data Mining

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.

Why research teams use TDM

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.

Why choose Springer Nature API’s?

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
All APIs are compliant with legal and ethical requirements related to data usage and protection. 

User-Friendly Interface and Tools
We provide user-friendly interfaces and tools to facilitate TDM processes, making the TDM experience more seamless and efficient.

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Latest tools and resources

How Text & Data Mining uncovers Hidden Data Points

Interview with Mark Davies of BenevolentAI on TDM


Episode 1: Experts from 3M’s Knowledge Discovery & Analytics Group: Exploring the Roles Information Professionals Can Play in TDM Initiatives                                                          

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.

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Episode 2: Robin Padilla from Springer Nature: TDM Projects Taking Place at SN, and the Ways that Information and KM Professionals Can Contribute Strategically to TDM Projects in their Organization          

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.

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