Antoine Lemor
This website is multilingual (FR/EN); you can change the language using the menu.
To get a glimpse of the methods I use, head over to my blog to discover NLP-POL, a series of analyses applying Natural Language Processing to current political topics. See the latest analysis.
I am a postdoctoral fellow jointly affiliated with the Réseau francophone international en conseil scientifique (RFICS) and the Centre de recherche sur la science et la technologie (CIRST) (Canada), under the supervision of Professor François Claveau. Additionally, I work on digital sovereignty with Professor Guillaume Beaumier at ENAP.
My research applies computational methods, natural language processing and machine learning, to analyze social and political problems ranging from public health crises to climate change, digital sovereignty, and online radicalization. I specialize in developing research infrastructures that address these challenges through natural language processing and computational social science approaches.
My current projects include the LLM Tool, an AI-assisted annotation pipeline combining LLMs and BERT for social science research (video presentation); the CCF Database, a new resource of 266,000+ annotated climate articles using 60+ machine learning models to trace climate discourse evolution since 1978; the YOUPOL project, analyzing online political radicalization through transcribed YouTube content from francophone influencers; and contributions to digital sovereignty research examining AI governance and transnational data flows. Each project is designed to produce open, reusable resources that advance scientific understanding and practical solutions.
I employ a range of computational methods, such as transformer-based models, automated text-annotation pipelines, and transcription tools, which I design and make accessible. My work seeks to bridge methodological rigor with applied analysis of social and political problems, with a particular emphasis on how science, evidence, and emotions shape policy responses to crises.