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KLASIFIKASI UJARAN KEBENCIAN BAHASA INDONESIA MENGGUNAKAN INDOBERT DAN CONVOL…
The increasing spread of hate speech on social media, particularly on Twitter (X), poses challenges for manual content moderation, which tends to be ineffective. This condition highlights the need for an automated classification system capable of accurately detecting hate speech. This study aims to develop a hate speech classification model using approach combining IndoBERT and Convolutional Ne…
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- xvii, 147 hlm.; ilus.; tab.; 29 cm.
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- T1988762026
ANALISIS SENTIMEN BERBASIS TRANSFORMER (INDOBERT) PADA ULASAN PENGGUNA APLIKA…
This study implements and compares the performance of the IndoBERT deep learning model in analyzing the sentiment of Gojek application reviews using 3-class and 5-class schemes. Data was extracted via web scraping, yielding 66,709 raw reviews, which were then preprocessed and balanced into 23,115 (3-class) and 32,899 (5-class) datasets. Training was executed with an 80:10:10 ratio across six sc…
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- xix, V-9 hlm.; ilus.; 29 cm
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- T1955952026
EKSTRAKSI KATA KUNCI PADA BAHASA INDONESIA MENGGUNAKAN JOINTLY MODELING LOCAL…
Menemukan jurnal ilmiah yang tepat dari beragam jurnal yang tersedia saat ini merupakan tantangan yang signifikan bagi para peneliti, akademisi bahkan mahasiswa karena membutuhkan waktu yang cukup lama. Oleh karena itu, penggunaan keyphrase atau kata kunci yang mencerminkan isi jurnal dapat menjadi solusi yang efektif untuk mengatasi masalah ini. Proses ekstraksi keyphrase dilakukan untuk mengi…
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- xvi, VIII-48 hlm.; ilus.; tab.; 29 cm
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- T1446452024
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