论文标题
多语言文本数据：通过多重因素分析的方法
Multilingual textual data: an approach through multiple factor analysis
论文作者
论文摘要
本文着重于对用不同语言回答的开放式问题的分析。要求所有受访者要求封闭的问题，称为上下文变量，以了解不同样本之间的自由响应与封闭响应之间的关系，因为后者可能会影响选择一词。我们已经开发了“对广义汇总词汇表上的多重因素分析”（MFA-GALT），通过选择单词的选择与推动此选择的变量之间的关系，共同研究不同语言的开放式响应。 MFA-GALT研究如果单词之间的可变性是通过变量之间的变异性以及从一个样本到另一个样本的不相反的。国际满意度调查的申请显示了提出的易于解释的结果。
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 the free and the closed responses among the different samples since the latter assumably affect the word choices. We have developed "Multiple Factor Analysis on Generalized Aggregated Lexical Tables" (MFA-GALT) to jointly study the open-ended responses in different languages through the relationships between the choice of words and the variables that drive this choice. MFA-GALT studies if variability among words is structured in the same way by variability among variables, and inversely, from one sample to another. An application on an international satisfaction survey shows the easy-to-interpret results that are proposed.
