Weighted Mean
Power
Regional Terms
Extraction: Advanced Methods
Energy
Empathy
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Sidrah Kaleem1, Zakia Jalil2, Muhammad Nasir3
1Department of Computer Science, International Islamic University, Islamabad, Islamabad, Islamabad, Pakistan.
This study introduces word embedding latent Dirichlet allocation (WELDA), a novel method for news topic recognition. WELDA improves text representation by fusing topic and word embedding models, achieving high accuracy on benchmark datasets.
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