DETEKSI KATA SERAPAN TERHADAP DOKUMEN MENGGUNAKAN PENDEKATAN DEEP LEARNING

dc.contributor.authorHalimardani, Windi
dc.date.accessioned2024-06-06
dc.date.available2024-06-06
dc.date.issued2023
dc.identifier.uri https://jurnal.dharmawangsa.ac.id/index.php/syntax/article/view/4164
dc.description.abstract This research aims to develop a method for detecting loanwords in text documents using a Deep Learning approach. Loan words are words that originate from a foreign language and have been adopted into the local language. This method has the potential to identify loanwords with high accuracy, even in the context of large and diverse documents. Deep Learning approaches will be used in text analysis to extract relevant and complex features from words in documents. The Deep Learning model that will be built can understand the context of the use of loan words in local languages and can differentiate them from native words in that language. Apart from providing a solution to the task of loan word detection, this research will also explore the potential application of Deep Learning in text processing and computational linguistics. It is hoped that the results of this research will help in better understanding aspects of language related to loanwords, and can be useful in applications related to text analysis such as automatic translation, sentiment analysis, and many more . Keywords: Absorption, Detection, Deep learning en_US
dc.language.isoenen_US
dc.publisherUniversitas Harapan Medanen_US
dc.subjectDEEP LEARNINGen_US
dc.titleDETEKSI KATA SERAPAN TERHADAP DOKUMEN MENGGUNAKAN PENDEKATAN DEEP LEARNINGen_US
dc.typeSkripsien_US


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