Labeling of European Environment Agency Waste and Recycling Reports with LDA Analysis (Technical Landfills and Waste Management)
Yazarlar (1)
Öğr. Gör. Dr. İbrahim BUDAK Kastamonu Üniversitesi, Türkiye
| Bölüm Adı | Labeling of European Environment Agency Waste and Recycling Reports with LDA Analysis | ||
| Kitap Adı | Technical Landfills and Waste Management | ||
| Bölüm Sayfaları | 285-294 | ||
| Kitap Türü | Kitap Bölümü | ||
| Kitap Alt Türü | Alanında uluslararası yayınlanan kitap bölümü | ||
| Kitap Niteliği | Web of Science Core Collection indeksinde taranan bilimsel kitap | ||
| Kitap Dili | İngilizce | Basım Tarihi | 01-2024 |
| DOI Numarası | 10.1007/978-3-031-55665-4_11 | ISBN | 978-3-031-55664-7 |
| Basıldığı Ülke | Amerika Birleşik Devletleri | Basıldığı Şehir | Cham |
| Kitap Linki | https://link.springer.com/book/10.1007/978-3-031-52633-6 | ||
| UAK Araştırma Alanları |
Karar Destek Sistemleri
Veri Bilimi ve Analitiği
Yapay Zekâ Teknolojileri ve Yönetimi
|
||
| Özet |
| Advanced text mining methodologies, specifically the Latent Dirichlet Allocation (LDA), have been effectively leveraged to extract valuable insights from European Environment Agency (EEA) reports pertaining to waste and recycling. The LDA technique, a formidable natural language processing approach, has been instrumental in unearthing hidden patterns and concerns from voluminous text datasets. In this context, LDA has been used to generate appropriate labels and classifications for the diverse facets of waste management and recycling practices. This technique entails analyzing the frequency and co-occurrence of words in documents, thereby allowing the algorithm to discern crucial topics that are often intertwined. The technique has been able to label these issues with great efficacy by presenting concise descriptions of the most commonly occurring problems and advancements in waste management … |
| Anahtar Kelimeler |
| European Environment Agency | Latent Dirichlet allocation | Recycling | Sustainable | Waste |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 1 |
| Google Scholar | 2 |