Text Mining

An easy-to-use tool to map trends in the Google Books corpus.

Analyze text from the HathiTrust Digital Library online using pre-defined algorithms. (Registration with a .edu email address required)

Lexos is a web-based tool from Wheaton College to help you explore your favorite corpus of digitized texts.

Three online tools—Explorer, Topic Mapper, and Source Manager—to analyze stories and topics across print, broadcast and digital news collections. Developed by the MIT Center for Civic Media and the Berkman Klein Center for Internet & Society at Harvard. Data is also available via API and as open source software.

Search, visualize, and review your documents using this free online tool (account required).

[Note: this resource is currently unavailable. LATIS is currently exploring whether they can provide a local instance of this tool for UMN researchers.]

Free social media data, analytics and visualization tools for researchers at all levels of expertise. Includes SMILE, an open-source social media analytics tool to collect and analyze data from Twitter and Reddit; and BAE, a Brand Analytics Environment to gain insight into how individuals and groups may interact with brands and various organizations.

A free web-based environment for analyzing digital texts.

Qualitative analysis software that you can use to analyze text documents such as interviews, survey responses, and more.

R is a free software environment for statistical computing and graphics. See Introduction to the tm Package: Text Mining in R to learn more about data import, corpus handling, preprocessing, metadata management, and creation of term-document matrices.

Python is a free open source and general-purpose programming language that often serves as a foundation for text analysis projects.

Analyze semantic features of text input, including categories, concepts, emotion, entities, keywords, metadata, relations, semantic roles, and sentiment.

A tool for journalists to search and analyze collections of public documents. Also available to annotate your own Open Calais documents.

Open Calais processes the text you submit and returns: Entities, Topic codes, Events, Relations and SocialTags. (Thomson Reuters)

OpenRefine (formerly Google Refine) is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.

Free web app to help authors create systematic reviews, collaborate on them, maintain them over time and get suggestions for article inclusion.

Introductory lessons on distant reading for academics, including lessons on Stylometry with Python, Basic Text Processing with R, and Getting started with Topic Modeling and Mallet.