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What T-LAB does and what it enables us to do
Requirements and Performances
Corpus Preparation
Corpus Preparation
Structural Criteria
Formal Criteria
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
Co-occurrence Toolkit
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
Lexical Tools
Text Screening / Disambiguations
Corpus Vocabulary
Stop-Word List
Multi-Word List
Word Segmentation
Other Tools
Variable Manager
Advanced Corpus Search
Classification of New Documents
Key Contexts of Thematic Words
Export Custom Tables
Import-Export Identifiers list
Analysis Unit
Association Indexes
Cluster Analysis
Context Unit
Corpus and Subsets
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
Stop Word List
Test Value
Thematic Nucleus
Variables and Categories
Words and Lemmas

Main bibliography

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Blei D.M. (2012) Introduction to Probabilistic Topic Models, Communications of the ACM, Volume 55 Issue 4, April 2012 Pages 77-84
Blondel V.D., Guillaume J.-L., Lambiotte R., Lefebvre E. (2008) Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment 2008 (10), P10008 (12pp)
Boley D.L. (1998) Principal direction divisive partitioning, Data Mining and Knowledge Discovery, 2(4), 325-344
Carroll J.B. (1964) Language and Thought, Englewood Cliff NJ, Prentice Hall
Campello R. J. G. B., Moulavi D., Zimek A. & Sander J. (2015) Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection. ACM Trans. Knowl. Discov. Data 10, 1, Article 5 (July 2015)
De Mauro T. Mancini F. Vedovelli M. Voghera M. (1993) Lessico di frequenza dell'italiano parlato (Fondazione IBM), Milano, Etas Libri
Fernández A., Gómez S. (2008) Solving Non-uniqueness in Agglomerative Hierarchical Clustering Using Multidendrograms, Journal of Classification, 25: 43-65
Greenacre M.J. (1984) Theory and Applications of Correspondance Analysis, New York, Academic Press
Greimas A.J. (1966) Sémantique structurale, Paris, Larousse
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Herdan, G. (1960) Quantitative Linguistics. London, Butterworth
Kohonen T. (1989) Self-Organization and Associative Memory, Berlin, Springer-Verlag
Krippendorff K. (1980) Content Analysis. An Introduction to its Methodology, London, Sage inc.
Lancia F. (2004) Strumenti per l'analisi dei testi. Introduzione all'uso di T-LAB, Milano, FrancoAngeli
Lancia F. (2005) Word co-occurrence and theory of meaning, www.tlab.it
Lancia F. (2012) The Logic of the T-LAB Tools Explained, www.tlab.it
Lebart L. Morineau A. Piron M. (1995) Statistique exploratoire multidimensionnelle, Paris, Dunod
Lebart L. Salem A. (1994) Statistique textuelle, Paris, Dunod
Maranda P. (1990) DisCan: User's Manual, Québec, Nadeau Caron Informatique
Marwan N., Romano M., Thiel M. & Kurths J. (2007) Recurrence Plots for the Analysis of Complex Systems, Phys. Rep. 438, 240-329
Michelet B. (1988) L'analyse des associations, Thèse de doctorat, Université Paris VII, Paris
Miller M.M. Riechert B.P. (1994) Identifying Themes via Concept Mapping: A New Method of Content Analysis, Paper presented at the Communication Theory and Methology Division of the Association for Education in Journalism and Mass Communication Annual Meeting, Atlanta
Pottier B. (1974) Linguistique générale, théorie et description, Paris, Klincksieck
Rastier F. (1987) Sémantique interprétative, Paris, PUF
Rastier F., Cavazza M., Abeillé A. (2002) Semantics for Descriptions, Stanford, CSLI
Salton G. (1989) Automatic text processing: the transformation, analysis, and retrieval of Information by Computer, Addison-Wesley, Reading, Massachussets
Saussure (de) F. (1916) Cours de Linguistique générale, Lusanne-Paris, Payot
Savaresi S.M., Boley D.L.(2001) On the performance of bisecting K-means and PDDP, 1st SIAM Conference on DATA MINING, Chicago, IL, USA, April 5-7, paper n.5, pp.1-14
Savaresi S.M., Boley D.L.(2004) A Comparative Analysis on the Bisecting k-means and the PDDP Clustering Algorithms, International Journal on Intelligent Data Analysis, 8(4): 345-362
Steinbach, M., Karypis G., Kumar V. (2000) A comparison of Document Clustering Techniques. Proceedings of World Text Mining Conference, KDD2000, Boston
Steyvers M., Griffiths T. (2007) Probabilistic Topic Models. In Landauer, T.; McNamara, D; Dennis, S.; et al. Handbook of Latent Semantic Analysis, Mahwak, NJ, Lawrence Erlbaum
van der Maaten L.J.P., & G.E. Hinton (2008) Visualizing High-Dimensional Data Using t-SNE. Journal of Machine Learning Research 9(Nov):2579-2605, 2008
Webber C. L., & Zbilut J. P. (2005) Recurrence Quantification Analysis of Nonlinear Dynamical Systems. In M. Riley, & G. Van Orden (Eds.), Tutorials in Contemporary Nonlinear Methods for the Behavioral Sciences (pp. 26-94)