TeCoMiner: Topic Discovery Through Term Community Detection
Andreas Hamm, Jana Thelen, Rasmus Beckmann, Simon Odrowski
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.
cs.CL, I.2.7; I.5.3; H.5.2