Exploring research themes and trends in arctic shipping using latent dirichlet allocation

Sağlam B. B., Ertürk E., Doymuş M.

MARITIME POLICY AND MANAGEMENT, cilt.0, ss.1-20, 2025 (SSCI, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 0
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1080/03088839.2025.2574683
  • Dergi Adı: MARITIME POLICY AND MANAGEMENT
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), Business Source Elite, Business Source Premier, Communication Abstracts, EconLit, Environment Index, Geobase, Metadex, PAIS International, Pollution Abstracts, Public Affairs Index, DIALNET, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1-20
  • Anahtar Kelimeler: Arctic shipping, Latent Dirichlet allocation, topic modelling, data science, research trends
  • Dokuz Eylül Üniversitesi Adresli: Evet