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Conor Laver

Biographic Data

ID6097467
NAMEConor Laver
GIVEN NAMESConor
FAMILY NAMELaver
SIGNATURELAVER C
AFFILIATIONSNortheastern University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Using large language models to analyze political texts through natural language understanding

    Open Access•Kenneth Benoit, Scott De Marchi et al.•ARTICLE•American Journal of Political…•2026•References: 31

    Large language models (LLMs) offer scalable alternatives to human experts when analyzing political texts for meaning , using natural language understanding (NLU). Qualitative NLU methods relying on human experts are severely limited by cost and scalability. Statistical text‐as‐data methods are scalable but rely on strong and often unrealistic assumptions. We propose a systematic, scalable, and replicable method that can extend existing qualitativ…

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  • Using large language models to analyze political texts through natural language understanding

    Open Access•Kenneth Benoit, Scott De Marchi et al.•ARTICLE•American Journal of Political…•2026•References: 31

    Large language models (LLMs) offer scalable alternatives to human experts when analyzing political texts for meaning , using natural language understanding (NLU). Qualitative NLU methods relying on human experts are severely limited by cost and scalability. Statistical text‐as‐data methods are scalable but rely on strong and often unrealistic assumptions. We propose a systematic, scalable, and replicable method that can extend existing qualitativ…

Computational and Text Analysis Methods (1 work) · Government (linguistics (1 work) · Key (lock (1 work) · Language model (1 work) · Natural (archaeology (1 work) · Natural language (1 work) · Natural language understanding (1 work) · Politics (1 work) · Populism, Right-Wing Movements (1 work) · Scalability (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae