Abstract
In the framework of the JuriSent case study, carried out within the European NEMIS thematic network, we analyze the contribution of text mining techniques to improve the consultation of jurisprudence textual databases. We mainly focus on correspondence analysis (CA) techniques, but also provide some insights on similar visualization techniques, such as self organizing maps (Kohonen maps), and review the potential impact of various Natural Language pre-processing techniques. CA is described in more detail, as well as its use in all the steps of the analysis. A concrete example is provided to illustrate the value of the results obtained with CA techniques for an enhanced access to the studied jurisprudence corpus.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bécue, M., Lebart, L.: “Analyse statistique de réponses ouvertes. Application à des enquêtes auprès de lycéens” in Analyse des Correspondances et Techniques connexes. Approches nouvelles pour l’analyse statistique des données, Moreau J., Doudin P.A., Cazes P. (Eds), Springer Verlag, 1999.
Benzécri, J.P.: La taxinomie, T. I; L’analyse des correspondances, T. II, Paris, Dunod, 1973.
Benzécri, J.P. et al.: Pratique de l’analyse des données, T. III, Linguistique & Lexicologie, Paris, Dunod, 1981.
Bourcier D.: “Une analyse lexicométrique de la décision juridique. Règles, standards et argumentation” In: Instrumentos metodológicos para el estudio de las instituciones, Bécue M. (Ed.), GRES-UAB, 2000, 57–69.
Eckart, C., Young, G.: The approximation of one matriz by another of lower rank. Psychometrica, 1, 1936, 118–121.
Gaussier E., Grefenstette G., Hull D., Roux C.: Recherche d’information en français et traitement automatique des langues. Traitement Automatique des Langues, Vol. 41, no. 2, 2000.
Harris, Z.S.: Distributional structure. Word, 10, 1954, 146–162.
Kohonen, T.: Self-Organization and Associative Memory, Berlin, Springer-Verlag, 1989.
Lebart, L., Salem, A., Berry, E.: “Recent development in the statistical processing of textual data”, Applied Stoch. Model and Data Analysis, 7, 1991.
Lebart, L., Salem, A., Berry, E.: Exploring Textual Data, Dordrecht, Kluwer, 1998.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bécue-Bertaut, M., Rajman, M., Lebart, L., Gaussier, E. (2005). Extraction of the Useful Words from a Decisional Corpus. Contribution of Correspondence Analysis. In: Sirmakessis, S. (eds) Knowledge Mining. Studies in Fuzziness and Soft Computing, vol 185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32394-5_12
Download citation
DOI: https://doi.org/10.1007/3-540-32394-5_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25070-8
Online ISBN: 978-3-540-32394-5
eBook Packages: EngineeringEngineering (R0)