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PRODUCT / Features (Quick Introduction)

T-LAB is available for Windows platforms (Windows 7, 8, 10).

MAC users interested in using T-LAB must have Microsoft Windows active on their computer.

During the pre-processing phase, T-LAB carries out the following treatments: corpus normalization, multi-word and stop-word detection, segmentation into elementary contexts (i.e. sentences or paragraphs), automatic lemmatization or stemming (see the below table), key-terms selection.

Subsequently T-LAB allows the integrated use of three kinds of tools for text analysis:

N.B.: All videos listed below refer to an outdated version of the software. An updated version of them will be available soon.


Word Associations (Manual -Video )
Co-Word Analysis and Concept Mapping (Manual - Video )
Comparison between Word pairs (Manual - Video )
Sequence and Network Analysis (Manual - Video)
Concordances (Manual - Video )


Thematic Analysis of Elementary Contexts (Manual - Video )
Modeling of Emerging Thems (Manual - Video)
Thematic Document Classification (Manual - Video )
Dictionary-Based Classification (Manual )
Key Contexts of Thematic Words (Manual - Video )


Specificity Analysis (Manual - Video )
Correspondence Analysis (Manual - Video )
Multiple Correspondence Analysis (Manual - Video )
Cluster Analysis (Manual - Video )
Singular Value Decomposition (SVD) (Manual)


The table below summarizes the main characteristics of T-LAB Plus (More Info)

Input format
Text in all languages,including those using ideograms
(i.e. files in UTF-8 format)
Maximum size of a corpus
90 MB, equal to about 55,000 pages in text format
Document formats
which can be processed
.txt, .doc, .docx, .pdf, .rtf, .html, .xls, .xlsx, .csv, .mdb, .accdb (N.B. The image-only PDF files must processed using OCR software first)
Languages for which
LEMMATIZATION is supported

Catalan, Croatian, English, French, German, Italian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Spanish, Swedish, Ukrainian

Languages for which
STEMMING is supported

Arabic, Bengali, Bulgarian, Czech, Danish, Dutch, Finnish, Greek, Hindi, Hungarian, Indonesian, Marathi, Norwegian, Persian, Turkish

Texts and documents may be analyzed and compared through the use of definite variable by user. Currently, the number of available categorical variables is fixed at 50, each allowing subdivision of the corpus into as many as 150 subsets which can be compared.

The user's interface, the contextual help and the manual are in four languages: English, French, Spanish, Italian.