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Ayuni, Amalia Qurrota
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Computer Science & IT Education Languange, Linguistic, Communication & Media

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Klasifikasi Topik Berita Deutsche Welle Indonesia dengan Kata Kunci Indonesia Menggunakan Metode Multinomial Naive Bayes Ayuni, Amalia Qurrota; Helen, Afrida; Yuliawati, Susi
Jurnal Linguistik Komputasional Vol 6 No 1 (2023): Vol. 6, NO. 1
Publisher : Indonesia Association of Computational Linguistics (INACL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jlk.v6i1.93

Abstract

Penerapan klasifikasi berita berdasarkan topik dan sub-topik dapat membantu pengguna media berita dalam menemukan informasi yang dibutuhkan secara lebih spesifik sehingga meningkatkan efisiensi waktu. Deutsche Welle Indonesia merupakan salah satu media berita asing yang terkenal akan publikasinya mengenai perkembangan politik dan teknologi. Penelitian ini bertujuan untuk mengklasifikasi topik berita khususnya mengenai Indonesia yang dipublikasikan oleh media berita Deutsche Welle Indonesia untuk mengetahui fokus pemberitaan dari media tersebut. Sebanyak 682 data dikumpulkan dan topik berita dengan jumlah terbanyak adalah berita politik, sosial budaya, dan kesehatan. Dengan tahapan preprocessing, labelling, training, testing, pembobotan tf-idf, dan klasifikasi data dengan algoritma multinomial naïve bayes didapatkan hasil akurasi tertinggi sebesar 88,3%. Klasifikasi topik diprediksi dengan confusion matrix dengan hasil berupa sebagian besar label berhasil dideteksi dan terdapat beberapa data yang mengalami kesalahan prediksi karena mesin tidak dapat mengidentifikasi judul dengan kata yang sama namun memiliki konteks berbeda.
Frequency and structures of lexical bundles in the German Goethe-Institut website Ayuni, Amalia Qurrota; Yuliawati, Susi; Ekawati, Dian
LingTera Vol. 9 No. 2 (2022)
Publisher : Department of Applied Linguistics, FBSB, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/lt.v9i2.54523

Abstract

Corpus linguistics allows researchers to discover the nature of language use through lexical bundles throughout genres, registers, and language varieties. With the fast-changing development of the internet, the language of websites has become one fascinating variety to investigate. In the contexts of German language studies, Goethe-Institut is a worldwide German cultural institution dedicated to teaching German and propagating German culture, with its website becoming a well-known source for German-related studies. Under these considerations, this research is interested in analyzing the German language patterns in Goethe-Institut website by examining their frequency and structure of lexical bundles. Using a mixed-method approach, the corpus was found to be dominated by lexical bundles within the ranges of three- and four-bundles, with the least quantity of lexical bundles in the range of five. The majority of the four-word lexical bundles on this site fell into the categories of noun, preposition, or verb groups. Meanwhile, the adverb, conjunction, and adjective groups were the fewest to appear in the four-word lexical bundles. The language in the Goethe-Institut was shown to contain semi-formal expressions according to the frequency of use of the prepositions, nouns, verbs, and the active sentence expressions. The utilization of standardized German language and basic vocabulary indicates that this website is designed to be accessible for everyone, including German language learners. The language usage also demonstrates that the Goethe-Institut is especially a user-oriented website with expressions that evoke a "˜sense of belonging'.
Co-Authors Afrida Helen, Afrida Dian Ekawati Yuliawati, Susi