Piloting A Machine Learning Approach to Identify English-Language Fiction in the HathiTrust Digital Library

In large digital libraries, such as the HathiTrust, metadata is insufficient to identify items of interest. Metadata records are often incomplete and challenging for fiction, where metadata categories, when present, are too broad. This project constructs a machine learning pipeline for fiction classification using the HTRC Extracted Features Dataset, and based on previous work from Underwood et al. We will detail the methodology, early results, and planned future work in generating this dataset.