FAT-CAT builds a directory-level concept lattice from topic-model outputs, adding image captions and cross-folder aggregation to earlier FCA-based topic analysis.
Information Sciences 659, 120009 (2024)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Conceptual Topic Aggregation
FAT-CAT builds a directory-level concept lattice from topic-model outputs, adding image captions and cross-folder aggregation to earlier FCA-based topic analysis.