Enhancing Topic Modeling Through Adaptive Similarity Thresholding: The Case of Large-Scale Citizen Contributions
In this paper, we propose a topic modeling method aimed at identifying the most salient themes in a large-scale collection of citizen contributions. Our method explicitly distinguishes between different proposals expressed within the same theme by assigning them to separate clusters, rather than grouping all occurrence...