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Found 1 from your keywords: author=Elwina, Elwina

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KLASIFIKASI BERITA MENGGUNAKAN METODE LONG SHORT-TERM MEMORY (LSTM)

In today's digital information age, the abundance of news available on the internet creates the need for an automated system that can classify news very accurately based on its category. This research presents an approach that uses Long Short-Term Memory (LSTM) to classify news and Term Frequency-Inverse Document Frequency (TF-IDF) as word weighting. The LSTM method is used to process news text…

Edition: -
ISBN/ISSN: -
Collation: xvii, 74 hlm.; Ilus.; 29 cm
Series Title: -
Call Number: T1401492024

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