Dong Nguyen

Hi, I am an assistant professor at Utrecht University. Previously I was a research fellow at the Alan Turing Institute. I was also affiliated with Edinburgh University. I completed my Ph.D. at the University of Twente. I received a master's degree from the Language Technologies Institute at Carnegie Mellon University and a bachelor's degree in Computer Science from the University of Twente. I have interned at Facebook (fall 2011), Microsoft Research (fall 2013), and Google (summer 2014). In fall 2015 I visited Georgia Tech.

Interested in doing a PhD with me in Utrecht? Please get in touch! More info here.


I have worked on various topics in Natural Language Processing and Information Retrieval. I'm especially interested in computational text analysis for research questions from the social sciences and humanities. I often study social media data.

I'm interested in computational sociolinguistics (Computational Linguistics, 2016). I've worked on geographical language variation (Computational Linguistics, 2017), gender and age (LATECH 2011, ICWSM 2013, COLING 2014), language change in online communities (LSM 2011), and more.

PhD thesis

Text as social and cultural data

I defended my PhD thesis Text as social and cultural data: A computational perspective on variation in text at the University of Twente in 2017. I explored computational approaches to text analysis for studying cultural and social phenomena, focusing on textual variation in social media and folk narratives. Winner of the Overijssel PhD-Award (2017) and the Gerrit van Dijk Prize for the best thesis in Data Science (Dutch Data Science Awards 2018).



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