Discovering Coherent Topics from Urdu Text
Discovering Coherent Topics from Urdu Text
Mubashar Mustafa,Feng Zeng,Hussain Ghulam,Wenjia Li
2021 · DBLP: conf/atait/MustafaZGL21
International Symposium on Advanced Technologies and Applications in the Internet of Things · 1 Citations
TLDR
The results show that word embedding is unable to extract coherent topics in Urdu language, so the proposed seeded-ULDA model is more than 39% efficient as compared to existing ULDA model based on coherence measure.