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PRODUIT / Infos (trial, release history)



T-LAB Plus 2019 was released on October 13th 2018.

Here is a short list of the most significant improvements made in this version of the software.

1 - the Concordances tool now includes a new option which allows the user to build/explore a dynamic Word-Tree of any selected item (see below). N.B.: The Google chart library is used for this purpose.

2 - the way the Corpus Builder tool manages the CSV files in different languages has been significantly improved. Moreover, whenever the dataset includes texts consisting of up to 30,000 characters each (i.e. about 10 pages each), a CSV backup copy of the corpus is made automatically available which can be edited using any spreadsheet editor and also re-imported into T-LAB.

3 - the Modeling of Emerging Themes tool, which uses the Probabilistic Topic Model (Blei, 2012; Steyvers & Griffiths, 2007), has been completely redesigned. As a result, the user has three main advantages:...




T-LAB Plus 2018 was released on November 3rd 2017.

Listed below are 10 of the key improvements and new features:

1 - the Sequence and Network Analysis tool, which takes into account the positions of words relative to each other (i.e. transition probabilities), has been completely redesigned and now the user is able to check the relationships between the 'nodes' (i.e. the key-terms) of the text network at different levels:

a) in the one-to-one connections;
b) in the 'ego' networks;
c) within the 'communities' (i.e. thematic clusters) to which they belong;
d) within the entire text network.

ONE-TO-ONE
EGO-NETWORK
COMMUNITIES
COMMUNITIES

 




T-LAB Plus 2017 was released on January 20th 2017.

The most important improvements concern: (A) the preprocessing steps - e.g. word segmentation, automatic lemmatization and stemming - for many languages, (B) the functionalities of some co-occurrence tools; (C) the performances of the Modeling of Emerging Themes tool.

A - Regarding the preprocessing steps, three new features have been implemented:

A.1-Word segmentation (see https://en.wikipedia.org/wiki/Text_segmentation) for Chinese and Japanese texts, which automatically delimits single words by white-spaces (see below).

N.B.: For the segmentation of the Chinese texts the 'Pan Gu Segment' library is used (http://pangusegment.codeplex.com/).

A.2-Dictionary-based lemmatization for nine (9) further languages;

A.3-Stemming algorithms for fifteen (15) languages;...

 




T-LAB Plus 2016 was released on April 22nd 2016.

Listed below are some of the key improvements and new features:

1 - Now eleven different file formats - including PDF documents - can be processed either as a single file or as a collection of documents.

N.B.:
- The image-only PDF files must be processed using OCR software first;
- HTML files can be imported by using the Corpus Builder module only.

2 - Two user profiles are now available: beginner and expert. When the first (i.e. beginner) is selected, the user is allowed to perform any analysis without being asked to choose between the advanced options.

 


Click here to consult the manual.