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Tools for Text Analysis

PRODUCT / News (release history)

T-LAB 7.1 was released on February 26 2010.

New features have been added and significant improvements made.

In particular:

- network licences are now available (click here to learn more) which provide a cost-effective way of making the software accessible to any number of users in a Local Area Network (LAN);

- automatic lemmatization for Portuguese has been added and German texts can be analysed with a specific procedure (try the demo to learn more);

- all T-LAB windows and their contents (i.e. tables and charts) are now resizable according to screen resolution;

- several tools for co-occurrence analysis, thematic analysis and comparative analysis have been made more user friendly;

- relevant changes have been made in the Co-Word Analysis and Customized Setting tools.

All other software characteristics, including the user interface in four languages (English, French, Italian, Spanish), remain unchanged (see features).


T-LAB 7.0 was released on September 30 2009.

A new charting system and a completely revised user's interface are the most important new features.

Moreover:

- a new tool for thematic analysis provides a simple way of discovering, examining and modeling the main themes emerging from texts (see Modeling of Emerging Themes);

- the performances of some tools for comparative analysis and co-occurrence analysis have been improved.

In detail:

- the new charting system include 3D Pie Charts, 3D Bar Charts, Bubble Charts, 3D scatter charts and more (click the images below to see videos).

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- each chart can be zoomed, maximized, customized and exported in different formats (just right click in order to show the popup menu).

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- the Modeling of Emerging Themes tool provides a simple way to explore, customize, test and apply each thematic model.

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- the Correspondence Analysis tool allows us to build and analyse three different kinds of tables (max 10,000 rows by 1,500 columns).

- the Specificity Analysis tool allows various kinds of comparisons in order to highlight which words are typical or exclusive in a text or in a corpus subset.

Click here to learn more ..