WASPAS-Based Natural Language Processing Method for Handling Content Words Extraction and Ranking Issues: An Example of SDGs Corpus

WASPAS-Based Natural Language Processing Method for Handling Content Words Extraction and Ranking Issues: An Example of SDGs Corpus

This paper addresses the challenges in extracting content words within the domains of natural language processing (NLP) and artificial intelligence (AI), using sustainable development goals (SDGs) corpora as verification examples. Traditional corpus-based methods and the term frequency-inverse docum...

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Bibliographic Details
Main Authors: Liang-Ching Chen, Kuei-Hu Chang, Jeng-Fung Hung
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Information
Subjects:
content word extraction
natural language processing (NLP)
artificial intelligence (AI)
corpus
the term frequency-inverse document frequency (TF-IDF) method
the weighted aggregated sum product assessment (WASPAS) method
Online Access:https://www.mdpi.com/2078-2489/16/3/198
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