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:
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N.B.: All videos listed below refer to an outdated version of the software. An updated version of them will be available soon.
CO-OCCURRENCE ANALYSIS
Word Associations
Comparison between Word pairs
Co-Word Analysis and Concept Mapping
Sequence Analysis
Concordances
THEMATIC ANALYSIS
Thematic Document Classification
Thematic Analysis of Elementary Contexts
Dictionary-Based Classification
Modeling of Emerging Thems
Key Contexts of Thematic Words
COMPARATIVE ANALYSIS
Specificity Analysis
Correspondence Analysis
Multiple Correspondence Analysis
Cluster Analysis
Contingency Tables
The table below summarizes the main characteristics of the software:
|
T-LAB Plus 2018 |
Input format |
Text in all languages,including those using ideograms (i.e. files in UTF-8 format) |
Maximum size of a corpus |
90 MB |
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 or Stemming are supported |
LEMMATIZATION: |
All the T-LAB functions allow charts and tables to be saved. 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.
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