Predicting emerging topics from outliers: a prospective study of weak signals in embedding space
Read the original at arxiv.org→arXiv:2609.29183v1 Announce Type: new Abstract: Some documents that embedding-based topic models initially classify as noise later become founding members of emerging topics. At publication time, however, they...
Original headline: "Predicting Emerging Topics from Outliers: A Prospective Study of Weak Signals in Embedding Space"
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- Sep 25, 04:00 UTC arXiv cs.CL lead source Predicting Emerging Topics from Outliers: A Prospective Study of Weak Signals in Embedding Space