Pengenalan entitas bernama pada Dokumen Wikipedia dan Berita Bahasa Indonesia dengan Pendekatan Conditional Random Field = Named-Entity Recognition On Indonesian Wikipedia and News Document Using Conditional Random Field Approach

Looking Deeper into Actor-Specific Reporting Bias: How Framing and Word Attribution Can Signify as Patterns in News Reporting about the Russian-Ukrainian Conflict = Melihat Lebih Dalam ke Bias Pemberitaan Spesifik Aktor: Bagaimana Pembingkaian dan Atribusi Kata Dapat Menandakan Sebagai Pola dalam Pemberitaan Berita tentang Konflik Rusia-Ukraina

Rekonstruksi Teks Berita Hengkanyanya Perusahaan Asing Di Rusia Melalui Gazeta.RU: Tinjauan analisis Wacana Kritis = Reconstruction Of The News Text Of The Leaving Of Foreign Companies In Russia Via Gazeta.RU: A Review Of Critical Discourse Analysis

Pengenalan Gesture dan Non Gesture pada kalimat SIBI (Sistem Isyarat Bahasa Indonesia) menggunakan TCRF (Threshold Conditional Random Field) = Word-gesture and Transitional-gesture Recognition of Indonesian Sign System (known as SIBI) Sentence using Threshold Conditional Random Field

Identifikasi Berita Palsu Berbahasa Indonesia menggunakan Pendekatan Pola Tekstual dan Penilaian Kredibilitas Sumber Berita = Identification of Indonesian Fake News using Textual Pattern Approach and News Source Credibility Assessment