8000 GitHub - amelialwx/BERT-Gutenberg-Analysis: Leveraging BERT for age-specific classification of Gutenberg texts, achieving 60% accuracy in categorizing content for primary, secondary, and tertiary age groups.
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Leveraging BERT for age-specific classification of Gutenberg texts, achieving 60% accuracy in categorizing content for primary, secondary, and tertiary age groups.

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amelialwx/BERT-Gutenberg-Analysis

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BERT-Gutenberg-Analysis

A Gutenberg Text Annotation Analysis project for my INFO 159 final project at UC Berkeley.

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Utilized BERT to predict the age range of English-language Gutenberg texts as primary (ages 9-12), secondary (ages 13-16), or tertiary (ages 17+). Our final model achieved 60% accuracy with a 95% confidence interval of [0.532, 0.668].

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Please refer to our AP4 Analysis for our analysis. PDF of Jupyter Notebook code with results can be found here.

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Leveraging BERT for age-specific classification of Gutenberg texts, achieving 60% accuracy in categorizing content for primary, secondary, and tertiary age groups.

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