Silvio Peikert

TopicsRanksDC: Distance-based Topic Ranking applied on Two-Class Data

2021 · arXiv (Cornell University)

In this paper, we introduce a novel approach named TopicsRanksDC for topics ranking based on the distance between two clusters that are generated by each topic. We assume that our data consists of text documents …