Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Nelleke Oostdijk

Nelleke Oostdijk
Associate Professor, Radboud University

Nelleke Oostdijk is an associate professor at Radboud University in Nijmegen, the Netherlands. A computational linguist with a keen interest in language use and variation, Nelleke has been involved in various projects directed at extracting information from social media data. More specifically, she has been exploring ways in which linguistic knowledge could be brought into play to improve on purely machine-learning approaches. In collaborations with different societal partners, she has helped demonstrate the strength of a hybrid approach when applied to a range of topic and domains, including detecting threatening tweets, identifying forum posts suggesting that specific food supplements might be contaminated, and topic and event detection in the case of tweets about natural disasters (earthquakes, floods, etc.) and emergencies.


10:0010:30 Tuesday, 23 May 2017
Data science and advanced analytics
Location: London Suite 2/3
Level: Intermediate
Ali Hürriyetoglu (Statistics Netherlands), Nelleke Oostdijk (Radboud University)
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Identifying relevant tweets in tweet collections that are gathered via key words is a huge challenge. Ali Hürriyetoglu and Nelleke Oostdijk share the results of a study on using unsupervised and supervised machine learning with linguistic insight to enable people to identify relevant tweets for their needs and offer an overview of their tool, Relevancer. Read more.