Text Analysis Tools

The following web-based tools, software programs, and programming languages are used for text analysis. 

• AntCont. A free text corpus analysis toolkit for concordancing and text analysis
• Concordle. Creates word clouds based on the user's corpus
• Lexos. A web-based tool designed for transforming, analyzing, and visualizing texts
• MALLET. A Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text
• Python. A programming language that is used by many for text mining and analysis. The Programming Historian has a series of lessons on using Python
• R. Open source statistical analysis software that rely on community driven packages to mine data. The Programming Historian has a series of lessons on using R
• Text Analysis Portal for Research (TAPoR). Discover research tools for studying texts via a detailed search and curated lists

• David M. Blei, Topic Modeling and Digital Humanities
• Cameron Blevins, Space, Nation, and the Triumph of Region: A View of the World from Houston
• Natalie M. Houston, Text Analysis
• Elijah Meeks and Scott B. Weingart, The Digital Humanities Contribution to Topic Modeling
• Benjamin M. Schmidt, Words Alone: Dismantling Topic Models in the Humanities