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Könyv Narrative-Based Script Quality Prediction Using Transformers D. Banu Kranthi

Narrative-Based Script Quality Prediction Using Transformers

Szerző: D. Banu Kranthi, Matsa Vasavi
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: KS OmniScriptum Publishing
Elérhetőség: Várható készletfeltöltés
Küldés 07. 11. 2026
19 014 Ft
Traditional approaches often rely on subjective judgment and historical experience, which may not ac...

Információk a könyvről

Szerző
D. Banu Kranthi, Matsa Vasavi
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2026
oldal
52
EAN
9786630557664
ISBN
6630557662
Enbook ID
54385749
Kiadó
KS OmniScriptum Publishing
Súly
85
Méretek
152 x 229 x 3

Teljes leírás

Traditional approaches often rely on subjective judgment and historical experience, which may not accurately estimate audience reception. To address this limitation, the proposed system combines Natural Language Processing (NLP) and structured metadata analysis to evaluate a drama before release. DistilBERT is used to extract meaningful contextual information from drama summaries and screenplay descriptions, while metadata features such as genre, number of episodes, number of seasons, cast tier, production tier, adaptation status, lead actor popularity, and screenwriter performance are incorporated to enhance prediction accuracy. Feature engineering techniques and class-weighted learning are applied to improve model performance and handle class imbalance. The extracted textual and metadata features are fused and processed through a neural network classifier to categorize dramas into Hit, Average, or Flop classes. The system provides an early assessment of a drama's potential success, assisting producers, writers, and production teams in making informed pre-production decisions.