AUDIENCE SATISFACTION PREDICTION OF CHINESE WEB DRAMA BASED ON BIG DATA TECHNOLOGY AND SUPPORT VECTOR MACHINE

AUDIENCE SATISFACTION PREDICTION OF CHINESE WEB DRAMA BASED ON BIG DATA TECHNOLOGY AND SUPPORT VECTOR MACHINE

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With the explosive growth of online video content, web dramas have become an important component of entertainment consumption for a large audience. This article constructs a prediction model that combines big data processing technology and Support Vector Machine (SVM) algorithm. This model utilizes...

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Bibliographic Details
Main Authors: Pei Cao, Jamilah Binti Jamal
Format: Article
Language:English
Published: Regional Association for Security and crisis management, Belgrade, Serbia 2024-06-01
Series:Operational Research in Engineering Sciences: Theory and Applications
Subjects:
Big Data Technology
Support Vector Machines
Audience Satisfaction
Predictive model
Web Drama
Sentiment Analysis
Online Access:https://www.oresta.org/menu-script/index.php/oresta/article/view/754
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https://www.oresta.org/menu-script/index.php/oresta/article/view/754

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