Multilingual textual data: an approach through multiple factor analysis
Belchin Kostov- Ramón Alvarez-Esteban
- Mónica Bécue-Bertaut
- François Husson
Published 2024-07-26
Keywords
- Correspondence analysis,
- Lexical tables,
- Textual and contextual data,
- Multiple factor analysis,
- Generalised aggregated lexical table
How to Cite
Copyright (c) 2024 Hervé Abdi, Vincent Guillemot, Ruiping Liu, Ndeye Niang, Gilbert Saporta, Ju-Chi Yu
This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
This paper focuses on the analysis of open-ended questions answered in different languages. Closed-ended questions, called contextual variables, are asked to all respondents in order to understand the relationships between open-ended and closedended responses across samples, as the latter are likely to influence word choice. We have developed "Multiple Factor Analysis on Generalised Aggregated Lexical Tables" (MFAGALT) to examine together open-ended responses in different languages through the relationships between word choice and the variables that drive that choice. MFA-GALT investigates whether the variability between words is structured in the same way as the variability between variables, and vice versa, from one sample to another. An application
to an international satisfaction survey shows the easy-to-interpret results proposed.