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All Journal 'A Jamiy: Jurnal Bahasa dan Sastra Arab Studies in English Language and Education
Moh. Kanif Anwari, Moh. Kanif
Fakultas Adab dan Ilmu Budaya UIN Sunan Kalijaga
Education Languange, Linguistic, Communication & Media

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Computational linguistics and natural language processing techniques for semantic field extraction in Arabic online news Ahmad, Maulana Ihsan; Anwari, Moh. Kanif
Studies in English Language and Education Vol 11, No 3 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/siele.v11i3.38090

Abstract

The research aimed to extract semantic fields from Arabic online news and advance Natural Language Processing (NLP) applications in understanding and managing news information effectively. It provides a comprehensive approach to processing and analyzing large volumes of Arabic news data by integrating semantic field analysis, NLP, and computational linguistics. Using quantitative methods, Arabic news articles were collected and processed with Python, a popular programming language in data analysis, and applied various NLP techniques and machine learning models to accurately extract semantic fields. The primary objective was to evaluate the effectiveness of different classification models in categorizing Arabic news and to identify the most suitable model for semantic field extraction. The research evaluated five classification models: Naive Bayes, Support Vector Machine (SVM), Logistic Regression, Random Forest, and Gradient Boosting. Among these, SVM achieves the highest overall accuracy of 90%. Specifically, SVM demonstrated exceptional performance in categorizing sports-related news, with a 99% probability and an F1-Score of 98%. However, it faced challenges in categorizing health and science news, achieving a lower F1-Score of 79%. Overall, the study demonstrated the effectiveness of computational methods, particularly SVM, in classifying Arabic news and extracting semantic fields, thereby advancing NLP and computational linguistics. The findings highlighted the potential of SVM for accurate news analysis and the need for further enhancement of NLP techniques to address multilingual and domain-specific challenges.
Eksistensi Madzhab Romantisme Sastra Arab (Telaah terhadap Unsur-Unsur Pembentuknya) Rizqi, Febyanti Fadhliatul; Anwari, Moh. Kanif
`A Jamiy : Jurnal Bahasa dan Sastra Arab Vol 13, No 1 (2024): Kajian Bahasa dan Sastra Arab
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/ajamiy.13.1.218-233.2024

Abstract

Artikel ini membahas tentang gerakan Romantisme dalam sastra Arab. Tujuan dari penelitian ini adalah untuk mengetahui pemikiran filosofis yang melatarbelakangi keberadaan gerakan Romantisme, bagaimana model atau ekspresi dalam gerakan Romantisisme, tokoh-tokoh yang melaksanakan dan membesarkan gerakan Romantisme, serta kritik terhadap gerakan Romantisme itu sendiri. Penelitian ini menggunakan metode deskriptif kualitatif. Teknik pengumpulan data yang digunakan adalah teknik simak dan catat. Hasil dari penelitian ini menjelaskan bahwa Romantisme sastra Arab modern dipengaruhi oleh kondisi psikologis, sosial, dan politik masyarakat Arab. Munculnya Romantisme Arab praktis karena pengaruh sastra Mahjar. Secara teoritis, gerakan Romantisisme dalam sastra Arab muncul karena adanya pengaruh tidak langsung dari sastra Perancis. Gerakan Romantisisme menolak kaidah sastra tradisional, sehingga gerakan ini menjadi kritik terhadap gerakan neo klasik. Model ekspresi dalam gerakan Romantisisme bersifat bebas dan imajinatif. Tokoh-tokoh aliran Romantisisme ini adalah Khalil Mutran, Ibrahim Naji, Ali Mahmud Taha, dan Khalil Jibran. Namun gerakan Romantisme ini juga mendapat kritik dari beberapa sudut pandang, seperti dari literatur Islam yang menilai Romantisme tidak tepat dan tidak berwatak islamis dengan sifat optimis.
Co-Authors Ahmad, Maulana Ihsan Rizqi, Febyanti Fadhliatul