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tespit eden bir sistem geliştirmeyi amaçlamaktadır.\n\n## Özellikler\n✅ **Veri Analizi \u0026 Temizleme** – Stopwords kaldırma, noktalama işaretleri temizleme, kök ve lemmatization işlemleri.  \n✅ **Kelime Bulutu \u0026 Görselleştirme** – En sık kullanılan kelimeleri görselleştirme.  \n✅ **Makine Öğrenmesi Modelleri** – Küfür tespit etmek için ML algoritmaları uygulanması.  \n✅ **Türkçe Desteği** – TurkishStemmer ve WordNetLemmatizer kullanımı.  \n\n## Gereksinimler\nBu projeyi çalıştırmak için aşağıdaki kütüphaneler gereklidir:\n\n```bash\npip install numpy pandas nltk seaborn matplotlib wordcloud snowballstemmer\n```\n\n## Nasıl Çalıştırılır?\n1️⃣ **Notebook'u açın** ve verileri yükleyin.  \n2️⃣ **Ön işleme adımlarını çalıştırın** (stopwords kaldırma, stemming vb.).  \n3️⃣ **Makine öğrenmesi modelini eğitin** ve test edin.  \n4️⃣ **Örnek cümlelerle test yapın** ve sonuçları gözlemleyin.  \n\n## Notlar\n- Notebook, **Google Colab** üzerinde çalıştırılmak üzere hazırlanmıştır.  \n- Verileri **Google Drive'a yükleyerek** projeyi kolayca çalıştırabilirsiniz.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fllwusill%2Fnlpbadwords","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fllwusill%2Fnlpbadwords","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fllwusill%2Fnlpbadwords/lists"}