3 citations · 3 across the 2 of their papers we have counts for
1 paper · 1 filter
Kyle Seelman, Mozhi Zhang, Jordan Boyd-Graber
Topic models are valuable for understanding extensive document collections, but they don't always identify the most relevant topics. Classical probabilistic and anchor-based topic…