Digital Humanities: Textual Analysis

Text Analysis Tools (Beginner, Intermediate, Advanced)

This page provides a selective list of well-known tool for text analysis. For a more complete list, see this list curated at text-analysis.com.

TAPoR 3.0
APoR is a gateway to the tools used in sophisticated text analysis and retrieval.

This introductory list includes a handful of well-known tool for text analysis. For a longer list, see this list curated at text-analysis.com.

Voyant Tools
Voyant Tools is a web-based text reading and analysis environment. It is a scholarly project that is designed to facilitate reading and interpretive practices for digital humanities students and scholars as well as for the general public.
jsLDA: In-browser topic modeling
The goals of this project are to (a) make running topic models easy for anyone with a modern web browser, (b) demonstrate the potential of statistical computing in Javascript and (c) allow tighter integration between models and web-based visualizations.
Google Ngram Viewer
The Google Ngram Viewer or Google Books Ngram Viewer is an online search engine that charts the frequencies of any set of comma-delimited search strings using a yearly count of n -grams found in sources printed between 1500 and 2008 in Google's text corpora in English.

MALLET
Topic models provide a simple way to analyze large volumes of unlabeled text. A "topic" consists of a cluster of words that frequently occur together. Using contextual clues, topic models can connect words with similar meanings and distinguish between uses of words with multiple meanings . . . The MALLET topic model package includes an extremely fast and highly scalable implementation of Gibbs sampling, efficient methods for document-topic hyperparameter optimization, and tools for inferring topics for new documents given trained models.
Antconc
A freeware corpus analysis toolkit for concordancing and text analysis.
Serendip
Serendip is a system for visually exploring topic models generated on large corpora of documents. It was developed by Eric Alexander and Joe Kohlmann at the University of Wisconsin-Madison as part of the Visualizing English Print project.

Google Colab
A Google-sponsored platform and community, Colab offers a no-setup, customizable, Jupyter Notebooks environment. Access free GPUs and a huge repository of community published data & code.
Jupyter Notebook
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Github
GitHub is a Git repository hosting code with more than 40 million users; it is a command line tool, but also provides a Web-based graphical interface. It also provides access control, version control, and other collaboration features.
Python (Anaconda Distribution)
Anaconda Distribution is the world's most popular Python data science platform.
TensorFlow
The core open source library to help you develop and train ML models.