Narrative-Based Script Quality Prediction Using Transformers: Drama Script Quality Prediction Using Metadata and Transformers - Softcover

Kranthi, D. Banu; Vasavi, Matsa

Softcover

ISBN 10: 6630557662 ISBN 13: 9786630557664

Verlag: LAP LAMBERT Academic Publishing, 2026

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

D Banu Kranthi is a Business Intelligence & Analytics Professional has worked on several Planning and Analytics based Visualization and Reporting Solutions over the past 3 year's. Delivered significant solutions for data set projects involving Data Analysis, Data Mining, ETL, Programming and using Data Visualization tools.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 6630557662
• ISBN 13: 9786630557664
• Einband: Taschenbuch
• Anzahl der Seiten: 52
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar