Access latest TDM resources & learn about advantages for your organization

The goal of text and data mining is to filter through information, identify pieces of data, and find the relationships and patterns in a way that can provide valuable information needed for studies and research projects. What is revolutionary is the ability of researchers to explore a dataset without knowing what specific questions to ask. 

Info pros bring a unique perspective to TDM projects – they understand how information is used within their organizations, and they know how to make that information more discoverable and hence more valuable. Find here more information about how your peers apply Text and Data Mining in their organizations. 

Let us know if you are interested in TDM options Springer Nature offers for books and journals content.

New case study with BenevolentAI

Watch the Webinar: How Text & Data Mining Uncovers Hidden Data Points and Powers New Discoveries

In this webinar, Dr. Prathik Roy explores the power of Springer Nature’s Text & Data Mining/Open APIs and how they have been helping students, faculty, and researchers to open up endless possibilities for developing new knowledge models or creating new APIs that can be developed and monetized.

Listen to the Introductory Episode: Exploring the Roles Information Professionals Can Play in TDM Initiatives

In this first episode, Jonnie Hauswirth, Rachel Wangerin and Jennifer Nelson from 3M’s Knowledge Discovery & Analytics Group talk in an interview 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.

To access further key content resources including the second episode of our latest podcast series, research highlights, expert blogs and interviews, please submit the form below.

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