There are many text mining tools available. This page provides you with a select list of sources to get you started. Please feel free to suggest your favorite tools to add to this list.
In addition, the Directory of Digital Research Tools (DiRT) aggregates information about digital research tools for scholarly use and makes it easy to find and compare available TDM and visualization resources.
CasualConcordence is a program designed for Mac OS and runs text concordance that allows you to analyze your own collection of text files (primarily English, though users reported success with other European languages). It also comes with additional tools that allow you to tag, transcribe, and extract text.
GloVe is a an unsupervised learning algorithm for obtaining vector representations for global word-word co-occurrence in a text corpus to show interesting linear substructures of the word vector space. This tool provides an effective method for measuring the linguistic or semantic similarity of the corresponding words and reveals relevant words that may lie outside of an average human's vocabulary. For example, the word frog can result in frogs, toad, litoria, leptodactylidae, rana, lizard, and eleutherodactylus.
ImagePlot is a free software tool from Software Studies Initiative that visualizes collections of images and video of any size.
This tool does all three components of data processing: extraction, transformation and loading. Users can create nodes for visualization as well as a platform for analysis, reporting, and integration for machine learning. It is easy to extend and to add plugins and other functionality. Plenty of data integration modules are already included in the core version.
Listed below are some good examples of high-performance Computer Assisted Qualitative Data Analysis Software (CAQDAS) platforms that are free of charge. Some have graphical user interfaces (GUI) and others do not. Some preliminary investigation will be required to determine what will best suit your needs. Note that two of these free programs, Aquad and RQDA, make use of the powerful statistical analysis package R. While there is only a plug-in for Aquad, you will need to install R to use RQDA. R is free to download and supported by a vast user community.
If you are not familiar with R, you may want to reach out to our digital humanities team at dSHARP for assistance.