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Exploring Topic Coherence With PCC-LDA and BERT for Contextual Word Generation

In the field of natural language processing (NLP), topic modeling and word generation are crucial for comprehending and producing texts that resemble human languages. Extracting key phrases is an essential task that aids document summarization, information retrieval, and topic classification. Topic...

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Principais autores: Sandeep Kumar Rachamadugu, T. P. Pushphavathi, Surbhi Bhatia Khan, Mohammad Alojail
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2024-01-01
סדרה:IEEE Access
נושאים:
BERT
key phrases
LDA
topic coherence
topic modeling
גישה מקוונת:https://ieeexplore.ieee.org/document/10713309/
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