In this contribution, we propose to analyze the statements coming from two ''civic tech'' platforms-the governmental platform, ''Grand D{\'e}bat National'' and, its political and algorithmic response proposed by a Yellow Vest collective, ''Vrai D{\'e}bat''-, by confronting two families of algorithms dedicated to text analysis. We propose to implement, on the one hand, proven approaches in textual data analysis (Reinert/Iramuteq Method) which have recently shown their interest in the analysis of very large corpora and, on the other hand, new methods resulting from the crossroads of the computer worlds, artificial intelligence and automatic language processing. We will examine the methodological solutions for qualifying the social properties of speakers about whom we have little direct information. Finally, we will attempt to present some research questions at the crossroads of the political sociology of public opinion and data science, which such a confrontation opens up.

提出分析两个civic tech平台的语句的算法，其中包括政府平台，Grand Débat National，和由黄马甲团体提出的算法响应，Vrai Débat。研究家采用了两种不同方法分析这些平台的文本数据，并尝试从政治社会学和数据科学的交叉点提出一些研究问题。

Un discours et un public "Gilets Jaunes" au coeur du Grand Débat
  National? Combinaison des approches IA et textométriques pour l'analyse de
  discours des plateformes "Grand Débat National" et "Vrai débat"

大型国民辩论中“黄马甲”发言及受众？从“国民大辩论”和“真正辩论”平台上，结合人工智能和文本计量方法进行话语分析