Dong Nguyen is a PhD student at the University of Twente. She is interested in Natural Language Processing, Information Retrieval and Machine Learning, especially when applied on Social Media and/or informed by Social Sciences. She is particularly interested in using social media data to gain more insight into sociolinguistics and social science questions using methods from machine learning and language technologies.
She has worked on computational approaches to model language use on social media, for example she has looked at language change over time due to online community membership and language variation due to age. She has also worked on information retrieval problems, such as cross-lingual information retrieval and federated search. She is currently working on text analysis of folk tales, using historical data as well as modern sources (Twitter etc.)
Dong received her M.Sc. in Language Technologies at Carnegie Mellon University and her B.Sc. in Computer Science at the University of Twente. In 2011 she was a software engineer intern at Facebook, where she was part of the growth team and worked on improving internalization. She was a Fulbright scholar and a recipient of the ECHO Beta Techniek Award, an award for a talented member of an ethnic minority in the Netherlands following a technical education.
She has been involved in Dutch, European and US funded research projects, including FACT (Utwente/Meertens), SUPPORT (CMU), DesignWebs (CMU) and LTfLL (Utrecht University).