Automated and computationally efficient content analysis of text

Abstract

The present disclosure relates to method and system for automated, computationally efficient content analysis of text-based media, such as books or video transcripts. The system receives input text, partitions it, and performs keyword-based searches on the partitions to score them. High-scoring partitions are selected for AI analysis, resulting in a content rating or warning. The system significantly reduces the computational cost and time associated with large-scale content analysis while maintaining high accuracy and recall across multiple categories.

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