5 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CL2021★ 2 cited
TeCoMiner: Topic Discovery Through Term Community Detection
Andreas Hamm, Jana Thelen, Rasmus Beckmann +1
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…
cs.CL2021★ 5 cited
Term-community-based topic detection with variable resolution
Andreas Hamm, Simon Odrowski
Network-based procedures for topic detection in huge text collections offer an intuitive alternative to probabilistic topic models. We present in detail a method that is especially…