Next-Generation Text Summarization: A T5-LSTM FusionNet Hybrid Approach for Psychological Data

Next-Generation Text Summarization: A T5-LSTM FusionNet Hybrid Approach for Psychological Data

Automatic text summarization (ATS) has developed as a vital method for compressing massive amounts of textual content into concise and useful summaries, to retrieve more effective and useful information. ATS reduces textual statistics into coherent and shorter versions especially focusing on psychol...

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Detaylı Bibliyografya
Asıl Yazarlar: Bilal Khan, Muhammad Usman, Inayat Khan, Jawad Khan, Dildar Hussain, Yeong Hyeon Gu
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: IEEE 2025-01-01
Seri Bilgileri:IEEE Access
Konular:
Automatic text summarization
T5-LSTM FusionNet
psychology
natural language processing
machine learning
Online Erişim:https://ieeexplore.ieee.org/document/10903679/

Internet

https://ieeexplore.ieee.org/document/10903679/

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