Analisis Topik pada Ulasan Film (LDA)

Aplikasi berbasis Natural Language Processing untuk menemukan topik-topik dominan secara otomatis dari dataset ulasan penonton menggunakan Latent Dirichlet Allocation (LDA).

Fitur Utama

📁 Upload Dataset CSV — Upload file ulasan film format CSV
🧹 Preprocessing Otomatis — Case folding, cleansing, stopword removal, lemmatization
📊 Evaluasi K Optimal — Cari jumlah topik terbaik (K=2–10) via coherence & perplexity
🗂️ History Analisis — Simpan dan bandingkan hasil antar dataset
🗺️ Peta Topik Interaktif — Visualisasi pyLDAvis full-screen

Format Dataset

File CSV dengan minimal satu kolom berisi teks ulasan (bahasa Inggris). Contoh:

review_text	rating
Amazing film with great visuals...	9
The story felt a bit slow...	6

Stack Teknologi

Frontend: React 19 + Vite + Recharts
Backend: Flask + Gensim (LDA) + NLTK + pyLDAvis
Deploy: Docker on HuggingFace Spaces

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