Parliamentary and legislative debate transcripts provide informative insight into elected politicians’opinions, positions, and policy preferences. They are interesting for political and social sciences aswell as linguistics and natural language processing (NLP) research. While existing research studiedindividual parliaments, we apply advanced NLP methods to a joint and comparative analysis of sixnational parliaments (Bulgarian, Czech, French, Slovene, Spanish, and United Kingdom) between2017 and 2020. We analyze emotions and sentiment in the transcripts from the ParlaMint datasetcollection and assess if the age, gender, and political orientation of speakers can be detected fromtheir speeches. The results show some commonalities and many surprising differences among theanalyzed countries.