Digital Humanities: Text Analysis

AntConc is a free, downloadable corpus analysis toolkit for concordancing and text analysis.

Corpus-DB is a textual corpus database for the digital humanities. This project aggregates public domain texts, enhances their metadata from sources like Wikipedia, and makes those texts available according to that metadata.

Bookworm is a tool that visualizes language usage trends in repositories of digitized texts in a simple and powerful way. HT+BW is intended to provide more powerful visualizations than seen in earlier efforts, because it will allow multi-faceted “slicing and dicing” of the data by an enhanced set of content-based and metadata-based features. The new Bookworm will help scholars to better build their research collections of texts, called worksets, and will augment their utility by improving: a) discovery in HTRC, so that scholars can find new texts to add to their worksets; b) custom analysis, for scholars to uncover novel patterns within their worksets; and c) exploration of the full HathiTrust corpus, so that scholars can view high-level trends but with the control to compare by such features as subject classification, place of publication, genre, and language.

The InPhO-TE is a way to interactively explore and interpret document collections with topic models. InPhO-TE is free and available for use on your personal computer or on the cloud for larger corpora. The installation is a two-step process and designed to be simple and flexible.

MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text. In additional to its Machine Learning applications, MALLET includes routines for tokenizing, stopwords, and converting sequences into wordcount vectors.

The Versioning Machine (VM) is a framework and an interface for displaying multiple versions of text encoded according to the Text Encoding Initiative (TEI) Guidelines. While the VM provides for features typically found in critical editions, such as annotation and introductory material, it also takes advantage of the opportunities afforded by electronic publication to allow for the comparison of diplomatic versions of witnesses, and the ability to easily compare an image of the manuscript with a diplomatic version. The Versioning Machine is also a tool for textual editors, providing an environment that allows editors to immediately see the consequences of their editorial decisions. The Versioning Machine can be used locally on a Mac or a PC, or it can be mounted on the WWW for public access.

Voyant is a web-based text analysis environment. It is designed to be user-friendly, flexible and powerful. Voyant is part of the Hermeneuti.ca, a collaborative project to develop and theorize text analysis tools and text analysis rhetoric.

Paper Machines is an open-source extension for the Zotero bibliographic management software. Its purpose is to allow individual researchers to generate analyses and visualizations of user-provided corpora, without requiring extensive computational resources or technical knowledge.

The Programming Historian has tutorials on a variety of topics and technologies including data manipulation, python, and distant reading.

This YouTube channel has hands-on tutorials for learning python, text analysis, Named Entity Recognition, Machine Learning, and additional special topics.