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Paul Nulty

Career-FIT Marie Skłodowska-Curie Fellow
From Comments to Concepts: Text Analysis for Political Social Media Content

Social science researchers often focus on understanding social and political concepts in their linguistic context, and linguists and lexicographers often make use of computational methods to get an overall picture of a word's meaning through its use. This is straightforward enough for concrete everyday objects and actions, but abstract political and social concepts have complex, disputed meanings that often differ according to the perspective or ideology of those using them. This talk gives an overview of how natural language processing methods can be used to explore and interactively visualise the meaning of words in different communities, with examples from modern debates on social media.

Paul Nulty is a Marie Skłodowska-Curie COFUND Fellow at CeADAR, University College Dublin and Corlytics. His work focuses on applications of natural language processing to research questions in the social sciences and humanities.

Paul graduated with a degree Computer Science and Linguistics from UCD and continued to complete his PhD in Computational Linguistics from the School of Computer Science in UCD in 2013. He worked as a postdoctoral researcher at the Department of Methodology at the London School of Economics from 2012-2015, and at the Centre for Research in Arts, Social Sciences and Humanities (CRASSH) at the University of Cambridge from 2016-2018