The BERT Uncased and LSTM Multiclass Classification Model for Traffic Violation Text Classification

The BERT Uncased and LSTM Multiclass Classification Model for Traffic Violation Text Classification

The increasing amount of internet content makes it difficult for users to find information using the search function. This problem is overcome by classifying news based on its context to avoid material that has many interpretations. This research combines the Uncased model BiDirectional Encoder Repr...

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Bibliographic Details
Main Authors: Komang Ayu Triana Indah, I Ketut Gede Darma Putra, I Made Sudarma, Rukmi Sari Hartati, Minho Jo
Format: Article
Language:English
Published: Udayana University, Institute for Research and Community Services 2025-01-01
Series:Lontar Komputer
Online Access:https://ojs.unud.ac.id/index.php/lontar/article/view/116705
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