Neutrosophic computational model for identifying trends in scientific articles using Natural Language Processing
This study presents an innovative neutrosophic computational model for identifying trends in scientific articles through Natural Language Processing (NLP). The primary objective was to develop a system that could effectively analyze a large body of academic literature and extract relevant summaries...
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| Format: | Article |
| Language: | English |
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University of New Mexico
2025-05-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/12%20NeutrosophicNaturalLanguageProcessing.pdf |
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