Books have historically been the primary mechanism through which narratives are transmitted. We have developed a collection of resources for the large-scale analysis of novels, including: (1) an open source end-to-end NLP analysis pipeline for the annotation of novels into a standard XML format, (2) a collection of 49,207 distinct cleaned and annotated novels, and (3) a database with an associated web interface for the large-scale aggregate analysis of these literary works. We describe the major functionalities provided in the annotation system along with their utilities. We present samples of analysis artifacts from our website, such as visualizations of character occurrences and interactions, similar books, representative vocabulary, part of speech statistics, and readability metrics. We also describe the use of the annotated format in qualitative and quantitative analysis across large corpora of novels.

本研究通过开发一套资源集合，包括NLP分析工具、清理和注释小说的数据库以及相关的网页接口，来进行大规模小说分析，描述了注释系统的主要功能及其价值，并展示了从网站中获取的分析结果样本，如人物出现和互动的可视化、类似的书籍、代表性词汇、词类统计和阅读难度指数，同时解释了通过注释格式在大型小说语料库中进行定性和定量分析的应用。

STONYBOOK：小说大规模分析的系统和资源