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T-LAB
Introduction
What T-LAB does and what it enables us to do
Requirements and Performances
Corpus Preparation
Corpus Preparation
Structural Criteria
Formal Criteria
File
Import a single file...
Prepare a Corpus (Corpus Builder)
Open an existing project
Settings
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
Concordances
Thematic Analysis
Thematic Analysis of Elementary Contexts
Modeling of Emerging Themes
Thematic Document Classification
Dictionary-Based Classification
Key Contexts of Thematic Words
Comparative Analysis
Specificity Analysis
Correspondence Analysis
Multiple Correspondence Analysis
Cluster Analysis
Singular Value Decomposition
Lexical Tools
Text Screening / Disambiguations
Corpus Vocabulary
Stop-Word List
Multi-Word List
Word Segmentation
Other Tools
Variable Manager
Advanced Corpus Search
Contingency Tables
Editor
Glossary
Analysis Unit
Association Indexes
Chi-Square
Cluster Analysis
Coding
Context Unit
Corpus and Subsets
Correspondence Analysis
Data Table
Disambiguation
Dictionary
Elementary Context
Frequency Threshold
Graph Maker
Homograph
IDnumber
Isotopy
Key-Word (Key-Term)
Lemmatization
Lexical Unit
Lexie and Lexicalization
Markov Chain
MDS
Multiwords
N-grams
Naïve Bayes
Normalization
Occurrences and Co-occurrences
Poles of Factors
Primary Document
Profile
Specificity
Stop Word List
Test Value
Thematic Nucleus
TF-IDF
Variables and Categories
Words and Lemmas
Bibliography
www.tlab.it

Structural Criteria



There are two structural criteria which must be observed: the corpus size and its subdivision into parts.

As for the size, all T-LAB Plus tools have been tested with a 90Mb corpus, approximately equivalent to 55,000 pages in .txt format.

Limits for the minimum size require different evaluation criteria, because, under a certain threshold, the corpus size can prejudice the reliability of many statistical analyses. Just follow these simple instructions: use corpora with at least 5,000 occurrences (approximately 30 Kb); otherwise, in the case of open-ended questions, a minimum of 50 answers.

In order to be processed, a corpus can be made up of: a single text without further partitions; a single text subdivided according to criteria established by the user (for example, a book divided into chapters); a number of texts (for example, different interviews or documents) classified through the use of labels linked to as many variables or IDnumber. In any case, the corpus is subdivided into parts that must be defined by precise formal criteria.