Advancements in natural language processing: Implications, challenges, and future directions

Advancements in natural language processing: Implications, challenges, and future directions

This research delves into the latest advancements in Natural Language Processing (NLP) and their broader implications, challenges, and future directions. With the ever-increasing volume of text data generated daily from diverse sources, extracting relevant and valuable information is becoming more c...

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Bibliographic Details
Main Authors: Supriyono, Aji Prasetya Wibawa, Suyono, Fachrul Kurniawan
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Telematics and Informatics Reports
Subjects:
Deep learning techniques
Natural language processing
Systematic review methodologies
Text data analysis
Transformer models
Online Access:http://www.sciencedirect.com/science/article/pii/S2772503024000598
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