Anton Eklund

I am an industrial Ph.D. student working at Aeterna Labs and associated with the Foundations of Language Processing group at Umeå University. My research interests revolve around document clustering and topic modeling. Topic modeling is a field within text mining where the objective is to find a set of topics that best describe an unsorted collection of documents and then assign the documents to these topics. Particularly, I look at topic modeling evaluation and human validation. I have also developed a tool called STELLAR which is made for the analysis and human evaluation of topic models.