CATPAC and the Galileo system are still in commercial use today, and with recent data capture and visualization contributions, continues to grow.
It uses text files as input and produces output such as word and alphabetical frequencies as well as various types of cluster analysis.
[1] Catpac is a self-organizing, i.e. unsupervised, interactive activation and competition (IAC) artificial neural network used for text analysis.
[2][3] The program generates a multidimensional scalar output organizing words throughout the text by creating a weighted word-by-word matrix that establishes the eigenvector centralities of concepts.
[15][16] Catpac, conceived as an improvement to simple word-count software more than 30 years ago, is currently available in windows 32 bit format.