This website doesn't use cookies to identify you. (More info)
email
en es fr it

PRODUCT / News (trial, release history)

T-LAB Plus 2016 was released on April 22nd 2016. (New: T-LAB Plus 2018 released)

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.

3 - Whenever analysing word co-occurrences and/or exploring clustering solutions, a new tool named Graph Maker allows the user to easily create and export several new dynamic charts and graphs, some of which are built with the D3 library.

4 - Every time a tool for exploring similarities and differences between corpus subsets or between thematic clusters is used a new button is available which allows the user to view a preview by means of a dynamic tree map.

5 - An additional algorithm for the thematic analysis (i.e. unsupervised clustering) of text segments and documents is now available which complements the bisecting Kmeans algorithm implemented in T-LAB more than ten years ago.
The new algorithm uses the PDDP (i.e. Principal Direction Divisive Partitioning) method proposed by Daniel Boley (1998) to initialize a k-means clustering procedure.

This way the user of T-LAB with an expert profile is able to compare different solutions for the same clustering problem, e.g. compare the quality of clusters obtained by two different algorithms applied to the same data tables.




T-LAB Plus was released on September 14th 2015.

T-LAB Plus is a new software product which results from re-engineering the latest version of T-LAB 9.1 and paves the way for further developments.

Below is a short table which summarizes the key improvements:

  T-LAB Plus 2015 T-LAB 9.1
Input format texts in all languages,
including those using ideograms
(i.e. txt files in UTF-8 format)

texts in Latin characters only
(i.e. txt files in ASCII/ANSI format)

Maximum size of a corpus

90 MB
(i.e. about 55,000 pages in .txt format)

30 MB
(i.e. about 18,000 pages in .txt format)

N.B.:
- Chinese, Japanese and a few other languages often have no delimiters (i.e. blank spaces and/or punctuation marks) between words. When this is the case, before importing any text with
T-LAB Plus, the user will need to perform a text segmentation first, by using other software which are usually available for free and they are different for each language (see http://nlp.stanford.edu/software/segmenter.shtml).

- The two versions of
T-LAB use two different database engines; consequently, the analysis projects carried out with T-LAB 9.1 cannot be directly imported into T-LAB Plus (and viceversa).

Among a great deal of new features, below is a short list of the most important:

  • A new powerful and very flexible tool named Text Screening allows the user to easily edit any corpus, create word lists, check customizable n-grams and/or word environments (i.e. word spans), as well as import/use customized multiword lists;

  • When importing a corpus in a language for which - at the moment - T-LAB Plus doesn't provide the automatic lemmatization (i.e. a language different from English, French, German, Italian, Portuguese and Spanish), the users are allowed to select/use stop word lists in twenty five languages and such lists, like the key-word lists and the multiword lists can be easily customized;

  • All tools for managing key-word list, for customizing dictionaries and for generating concordances (i.e. key-word-in-context outputs) are now integrated with each other and much easier to use;

  • Many new options are available by right-clicking on the tables;

  • Several analysis tools allow the user to create new dendrograms showing similarity relationships between key-words;

  • Several analysis tools allow the user to map the relationships between main themes either by using the MDS (i.e. Multidimensional Scaling) or the Correspondence Analysis method;

  • All tools for Correspondence Analysis include a button which allows the user to perform a Cluster Analysis with different methods;

  • The algorithms for automatic lemmatization and key-word selection have been improved;

  • The majority of the analysis tools have a new layout.


Here are some screenshots to allow you to better appreciate some new features of T-LAB Plus.

1- Three outputs obtained by analyzing Chinese, Russian and Arabic texts respectively:

2 - Using the Text Screening tool:

3 - Working with Stop-Word lists different from those available for the six languages which T-LAB can treat by automatic lemmatization (i.e. English, French, German, Italian, Portuguese and Spanish)

4- The integrated tools for key-word selection and dictionary building

5 - New options with right-click

6- New dendrogram options

7- Mapping themes/topics

8 - From Correspondence Analysis to Cluster Analysis

9 - New layout of the T-LAB tools (e.g. Specificity Analysis)



 

Click here to learn more ..