Digital Humanities Best Bets Databases

COVE Studio is an anthology maker and annotation tool that offers over nine million words of pre-coded texts ready for inclusion in course anthologies. Professors can create custom reading lists of works in the public domain and share them with their classes. The platform allows for professors and students to then collaboratively comment and annotate the text of the anthology for deeper discussion and interactivity.

Digital Scholar Lab is a research platform where you can apply natural language processing tools to raw text data (OCR) from your institution's Gale Primary Sources holdings, or from uploaded OCR. Gale Digital Scholar Lab is organized in three broad steps: Build, Clean, and Analyze. These steps support newcomers and experienced users alike as they interpret both Gale Primary Sources and their own documents. An integrated Learning Center provides instructional tutorial videos and explanations throughout. The six built-in analysis tools are: Ngrams, Sentiment Analysis, Topic Modeling, Named Entity Recognition, Document Clustering, and Parts of Speech.

HathiTrust Research Center (HTRC) enables computational analysis of works in the HathiTrust Digital Library (HTDL) to facilitate non-profit research and educational uses of the collection. HTRC, which is co-located at Indiana University and the University of Illinois at Urbana-Champaign, engages in research and development for computational text analysis of massive digital libraries. Leveraging data storage and computational infrastructure at Indiana University and the University of Illinois at Urbana-Champaign, the Center creates and maintains a suite of tools and services for text-based, data-driven research, such as HTRC Algorithms and Data Capsule, and engages in cutting-edge research on large-scale data analysis.



HTRC operates under a non-consumptive research paradigm: HTRC makes available the collection for computational analysis, while remaining clearly within the bounds of the fair use rights courts have recognized as applying to text analysis. The Center is committed to breaking new ground in the areas of non-consumptive text mining, allowing scholars to fully utilize content of the HathiTrust Digital Library.

Formerly Lynda.com. LinkedIn Learning is an online educational platform that helps you discover and develop business, technology-related, and creative skills through expert-led course videos. With more than 5,000 courses and personalized recommendations, you can discover, complete, and track courses related to your field and interests. You can also choose to add these courses and related skills to your LinkedIn profile once you've completed them. W&M login required.

TDM Studio is a cloud-based text and data mining solution that allows users to analyze text and data from licensed Proquest content, including: newspapers, scholarly articles, dissertations, theses, and government databases. With this content, users can build a corpus and conduct data analysis, text mining, and visualization to uncover relationships, patterns, and connections within and between datasets. The platform allows users to use their preferred data analysis methods in a coding workbench in Jupyter Notebook Environment, or a pre-defined data visualization module with no coding experience required. Users must create an account with their wm.edu email address to gain access by following the steps below:

1. Go to https://tdmstudio.proquest.com

2. Click “Create Account” button

3. Use your institution/university email address to create your account and create a password

5. Click the box to agree to the terms and conditions, and select "create account"

6.  You will receive an email with a link to verify your email address.

7. Once verified, you should be able to login and explore TDM studio.