  This note is a short description of TeCoMiner, an interactive tool for
exploring the topic content of text collections. Unlike other topic modeling
tools, TeCoMiner is not based on some generative probabilistic model but on
topological considerations about co-occurrence networks of terms. We outline
the methods used for identifying topics, describe the features of the tool, and
sketch an application, using a corpus of policy related scientific news on
environmental issues published by the European Commission over the last decade.
