Research interests and activities
My main research interests are diverse. At the highest levels I am interested in information retrieval and data mining theoretics and applications. I started with some projects and a master’s thesis in Hidden Markov Models and imprecise probability theory in speech and text processing1, and I also did a project on music information retrieval. But for my PhD2 I went to social media text mining. Very quickly I began to look at deep learning techniques since, according to literature, this seemed the way to further advance the field of natural language processing. Next to that I am also interested in applications in recommendation systems and education. Currently I am working on the topic of text similarity and language models using word embeddings. I have counseled master’s dissertations on the topic of popularity prediction for tweets and news articles, style transfer in music composition, POI recommendation using social media, and large-scale sentiment classification of tweets.
Below is a list of published and unpublished academic work. More information can also be found on my Google Scholar profile.
- Best paper award at the fifth Making Sense of Microposts workshop at WWW 2015, Florence, Italy.