Nhận Diện Ngôn Ngữ Độc Hại Tiếng Việt=Toxic text detection in vietnamese language

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Tác giả: Minh Phước Huỳnh, Đông Trần

Ngôn ngữ: vie

Ký hiệu phân loại:

Thông tin xuất bản: Khoa học Giáo dục KT, 2024

Mô tả vật lý: tr.46-57

Bộ sưu tập: Metadata

ID: 251340

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The rapid growth of online platforms in recent years, such as social In recent years, the online world has seen an explosion of platforms for communication and sharing. Social networks, forums, and countless websites have created a vast and diverse online landscape. This abundance of content, while exciting, has also introduced new challenges, particularly when it comes to protecting children. The ease of access to the internet can expose them to potential risks, such as encountering toxic language and online bullying. Traditional methods of mitigation, like blocking connections or restricting screen time, can be cumbersome and may not be entirely effective. This paper proposes a novel solution that leverages the power of deep learning. By training deep learning models to identify malicious phrases, our models can recognize various forms of inappropriate language, including both sensitive words and seemingly harmless words used with harmful intent. This intelligent filtering system can be implemented on both the server-side and client-side of online platforms, offering a robust layer of protection for users as they navigate the digital world.Trong những năm gần đây, thế giới trực tuyến đã chứng kiến sự bùng nổ của các nền tảng giao tiếp và chia sẻ. Mạng xã hội, diễn đàn và vô số trang web đã tạo ra một không gian trực tuyến rộng lớn và đa dạng. Mặc dù sự phong phú về nội dung này thú vị và có thể hữu ích, nhưng nó cũng mang đến những thách thức mới, đặc biệt là về vấn đề bảo vệ trẻ em. Việc dễ dàng truy cập internet có thể khiến trẻ em tiếp xúc với các rủi ro tiềm ẩn, chẳng hạn như gặp phải ngôn ngữ độc hại và bắt nạt trực tuyến. Các phương pháp giảm thiểu truyền thống, chẳng hạn như chặn kết nối hoặc hạn chế thời gian sử dụng màn hình, có thể không thực sự hiệu quả. Bài báo này đề xuất một giải pháp sử dụng sức mạnh của học sâu. Bằng cách đào tạo các mô hình học sâu để xác định các cụm từ độc hại, các mô hình của chúng tôi có thể nhận dạng các dạng ngôn ngữ không phù hợp khác nhau, bao gồm cả từ nhạy cảm và những từ có vẻ vô hại được sử dụng với mục đích gây hại. Hệ thống lọc thông minh này có thể được triển khai trên cả phía máy chủ và phía máy khách của các nền tảng trực tuyến, cung cấp một lớp bảo vệ tốt hơn cho người dùng trong thế giới kỹ thuật số.

1. Đọc trực tuyến

1. Đọc trực tuyến

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