  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.
