Classifier accuracy between adjacent time windows estimates a total variation distance between news content distributions, and its peaks mark changepoints that align with major historical events.
A review and comparison of changepoint detection techniques for climate data.J
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Neural Total Variation Distance Estimators for Changepoint Detection in News Data
Classifier accuracy between adjacent time windows estimates a total variation distance between news content distributions, and its peaks mark changepoints that align with major historical events.