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Argamon researches computational methods for style-based analysis of natural language using machine learning and shallow lexical semantic representations, exploring applications in intelligence analysis, forensic linguistics, biomedical informatics, and humanities scholarship. He currently works on connecting ideology and personality to language use and on extracting and analyzing the meaning of metaphors. He is particularly interested in elucidating the relationships among linguistic structures, individual reasoning, and social context.
Argamon researches computational methods for style-based analysis of natural language using machine learning and shallow lexical semantic representations, exploring applications in intelligence analysis, forensic linguistics, biomedical informatics, and humanities scholarship. He currently works on connecting ideology and personality to language use and on extracting and analyzing the meaning of metaphors. He is particularly interested in elucidating the relationships among linguistic structures, individual reasoning, and social context.
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论文共 89 篇作者统计合作学者相似作者
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Social Science Research Network (2019)
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Register Studiesno. 1 (2019): 100-135
Social Science Research Network (2018)
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Nature Human Behaviourno. 3 (2018): 168-171
user-5aceb7ef530c7001b97ba534(2015)
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international conference on big data (2015)
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The Structure of Style: Algorithmic Approaches to Understanding Manner and Meaning (2014)
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