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What T-LAB does and what it enables us to do
Requirements and Performances
Corpus Preparation
Corpus Preparation
Structural Criteria
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Import a single file...
Prepare a Corpus (Corpus Builder)
Open an existing project
Automatic and Customized Settings
Dictionary Building
Co-occurrence Analysis
Word Associations
Co-Word Analysis and Concept Mapping
Comparison between Word pairs
Sequence and Network Analysis
Thematic Analysis
Thematic Analysis of Elementary Contexts
Modeling of Emerging Themes
Thematic Document Classification
Dictionary-Based Classification
Texts and Discourses as Dynamic Systems
Comparative Analysis
Specificity Analysis
Correspondence Analysis
Multiple Correspondence Analysis
Cluster Analysis
Singular Value Decomposition
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Text Screening / Disambiguations
Corpus Vocabulary
Stop-Word List
Multi-Word List
Word Segmentation
Other Tools
Variable Manager
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Classification of New Documents
Key Contexts of Thematic Words
Export Custom Tables
Import-Export Identifiers list
Analysis Unit
Association Indexes
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Context Unit
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Correspondence Analysis
Data Table
Elementary Context
Frequency Threshold
Graph Maker
Key-Word (Key-Term)
Lexical Unit
Lexie and Lexicalization
Markov Chain
Naïve Bayes
Occurrences and Co-occurrences
Poles of Factors
Primary Document
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Words and Lemmas


Export Custom Tables

N.B.: The pictures shown in this section have been obtained by using a previous version of T-LAB. These pictures look slightly different in T-LAB Plus, but the functionalities of the software are the same.

This option allows us to create, to explore and to export three kinds of tables:

a) those with the occurrence values of lexical units within the corpus subsets defined by a categorical variable (rectangular matrices);

b) those with the co-occurrence values of lexical units (square matrices) within the corpus or within the corpus subsets;

b) those with the co-occurrence values of lexical units within all documents (sparse matrices using indexes).

The maximum sizes of such tables are respectively: a) 10,000 rows by 150 columns; b) 5,000 rows by 5,000 columns; c) 30,000 documents by 10,000 lexical units.

The use of this function is very intuitive.

When dealing with simpler cases, you are asked to select the variable one whose categories will constitute the columns of the output table.

When dealing with more complex cases, you are asked to select one variable and a subset.

All contingency tables allow us to create various charts.
Moreover, by clicking on specific cells of a table, it is possible to create a HTML file including all elementary contexts where the word in row is present in the corresponding subset (see below).

In order to export any sparse matrix document x word just click the appropriate button (i.e. 'Document-Word Matrix').

In this case, the available outputs are two:

The first (Sparse_Matrix.csv) has the following format:
Doc_Index; Word_Index; Word_Occ
00001; 1; 12
00001; 2; 5
The second (Word_Indexes.csv) has the following format:
Word_Index; Word_Label
1; abroad
2; accept