CATMA 3.2 released

The CATMA team announces the release of CATMA 3.2. Besides containing various bugfixes and improvements the release is mainly driven by a collaboration between the team of Prof. Dr. Meister (Hamburg University) and the team of Prof. Dr. Sinclair (McMaster University) at Hamilton (ON), Canada. CATMA offers now the possibility to export user generated data to the web-based text analysis environment Voyeur to enable the user to take advantage of the rich visualisations provided by Voyeur. A short report gives an insight on what has been implemented and how it can be used.

CATMA in use at the University of Hamburg

CATMA is currently used in, among other, an MA textual analysis seminar on the Austrian writer Arthur Schnitzler. Schnitzler, a contemporary of Sigmund Freud’s, introduced into German narrative prose the narrative technique of so-called ‘internal focalization’, i.e. psychological introspection into characters. With CATMA students tag and analyse surfcae markers as well as deeper level semantic attributes in Schnitzler’s texts to identify the specific patterns of introspection in his narratives.

Using CATMA for meta data atomization

An example for using CATMA to markup a spreadsheet containing historic oceanographic data has been supplied by Alexander Dorsk. Instead of having to manually tag over 500 occurrences CATMA was used to execute a regular expression based tagging routine, reducing a task of some 10 hours to a minute or two. A detailed description plus a screencast give more information on the individual steps and provide a good demo of CATMA use in practice (thanks, Alex!).