7 hasil untuk "Saidah Saad"
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Artikel Jurnal
Pashto Language Stemming Algorithm
In this paper a stemming algorithm for morphological analysis for less popular or minor language like Pashto language is presented. Pashto, as a less popular language, lacks the resources and tools that can be applied in different applications such as in document indexing, clustering, language…
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Artikel Jurnal
EXTRACTION OF CONCEPT AND CONCEPT RELATION FOR ISLAMIC TERM USING SYNTACTIC PATTERN APPROACH
Ontology Learning is a semi automation step to learn ontology from text. The identification of a term become a prerequisite for all aspects of Ontology Learning. The Ontological Learning Layer is started by identifying terms, synonyms, concepts, hierarchical concepts, relationships and rules for…
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Artikel Jurnal Teks lengkap
Enhancing traditional Chinese medical named entity recognition with Dyn-Att Net: a dynamic attention approach
Our study focuses on Traditional Chinese Medical (TCM) named entity recognition (NER), which involves identifying and extracting specific entity names from TCM record. This task has significant implications for doctors and researchers, as it enables the automated identification of relevant TCM…
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Artikel Jurnal
A Survey of Smart Campus Resource Information Management in Internet of Things
The rapid development of information technology, especially the advancements in fields such as the Internet of Things (IoT), is driving significant changes in campuses. This change has a wide impact, covering many fields, such as educational resource allocation, student services, and campus…
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Artikel Jurnal
Ontology-Based Knowledge Management Tools for Knowledge Sharing in Organization—A Review
Knowledge management (KM) comprises several processes, and one of the most important is the knowledge sharing activities. The ability of an organization to manage its organizational knowledge, specifically in the context of knowledge sharing, may enhance the organization’s overall performance…
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Artikel Jurnal Teks lengkap
Parallel-Based Corpus Annotation for Malay Health Documents
Named entity recognition (NER) is a crucial component of various natural language processing (NLP) applications, particularly in healthcare. It involves accurately identifying and extracting named entities such as medical terms, diseases, and drug names, and healthcare professionals are essential…
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Artikel Jurnal
QUANTIFYING SEMANTIC SHIFT VISUALLY ON A MALAY DOMAIN SPECIFIC CORPUS USING TEMPORAL WORD EMBEDDING APPROACH
In this study, we propose an alternative approach to analyzing a domain-specific time series corpus for detecting word evolution. The method trains a target corpus in time series into a temporal word embedding (TWE) model. The advantage of TWE is that one can see how the meaning of a word changes…