Interrogate content, interpret insights, and unearth truths with TDM Studio

In this age of information, identifying trends, patterns, and connections among millions of documents is becoming a necessary capability. The extraction of data from unstructured information is used for methodologies such as natural language processing, artificial intelligence (AI), machine learning, and sentiment analysis.

TDM Studio provides access to millions of rights-cleared publications to enable timely interrogation using text analysis and visualization tools. With exclusive access to news, dissertations, and primary sources in a consistent XML format, text and data mining can unearth ground-breaking insights for more researchers.

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Short Description

Text and Data Mine Efficiently

Access

Access

Extract new value from the library’s ProQuest collections by accessing exclusive content like dissertations, news, and more via TDM Studio. All text and data mining rights are cleared for immediate access.

Target

Target

Quickly curate content sets of millions of records. Refine and target to your research interest, eliminating the need to process unrelated documents.

Interrogate

Interrogate

Easily interrogate multiple content sources with a consistent XML structure. In TDM Studio researchers have the flexibility with Python and R to analyze and extract data in alignment with their workflow.

Case Studies
Supporting Digital Literacy in the Classroom

Supporting Digital Literacy in the Classroom

The University of Sydney discusses how they introduced students to TDM through data visualizations.

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Using Machine Learning to Understand Media Bias

Using Machine Learning to Understand Media Bias

An economics Ph.D. researcher uses TDM Studio to develop a machine learning model to analyze media bias in newspaper text.

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What Content Can Be Analyzed

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ProQuest Content

• Subscription and perpetually licensed content on the ProQuest Platform

• Rights-cleared content across disciplines and formats

• Consistent data schema across all content types

• Content Types include:

• Current and historical newspapers

• Dissertations and theses

• Scholarly journals

• Primary Sources

  • Upload additional datasets acquired from open access content or social media data

Analyze Sooner


• Save months of time and tens of thousands of dollars required to negotiate and acquire data mining licensing.

• Generate datasets containing tens of millions of records in hours instead of weeks.

• Prewritten Workbench scripts and pre-coded interactive Visualizations allow researchers to overcome skill gaps and get started immediately.

TDM Studio offers clear value for researchers, not only making text and data mining activities more efficient but also ensuring adherence to relevant licensing terms.

Kate Worlock, Vice President and Lead Analyst Outsell

Advance Your University's Research Mission

Hear from the University of Southern California on new ways to collaborate with research teams, helping researchers get more value from the library's existing content, facilitating cross-departmental collaboration, and supporting and influencing research outcomes through TDM.

The most efficient path for text and data-mining

Infographic

The most efficient path for text and data-mining

Analyze sought-after content, uncover connections and make career-defining discoveries.

Download the Infographic

Given faculty interest in ProQuest’s rich historical content at our libraries, bringing the TDM Studio solution to Syracuse Libraries and our campus community is a natural next step…helping them discover not only new answers to existing questions, but potentially exciting ways to frame new inquiries.

Scott Warren, Associate Dean of Research Excellence Syracuse University

Case Studies
COVID-19 in the News: A Case Study Study

COVID-19 in the News: A Case Study Study

George Washington researcher Zhoudan Xie shows how TDM can quickly analyze a massive set of news articles to uncover critical and timely trends.

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Misreported Research in Psychology: A Case Study

Misreported Research in Psychology: A Case Study

Yuyang Zhong from UC Berkeley uses TDM to quantify concerns raised in the replication crisis.

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