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.