主题丰富分析：在一系列故事中识别显著丰富主题的统计检验及其在《星际迷航》电视系列中的应用
Theme Enrichment Analysis: A Statistical Test for Identifying Significantly Enriched Themes in a List of Stories with an Application to the Star Trek Television Franchise
摘要：
在本文中，我们描述了如何超几何测试可以用来确定是否一个给定的主题的兴趣发生在一个故事集的频率超过预期的机会。通过故事集，我们的意思是简单地根据公共属性定义的故事列表（例如，作者，运动，时期）。测试大致如下：给定一个背景故事集和一个感兴趣的子故事集，测试基于比较子故事集和背景故事集中故事的比例来确定给定主题是否在子故事集中过度表示。当主题被识别为通过测试被显著过度表示时，故事集被称为相对于特定背景故事集针对主题被“丰富”。此外，我们在这里介绍了一个玩具数据集，由280手动为主题的星际迷航电视专营权集。作为概念的证明，我们使用超几何测试来分析《星际迷航》故事的丰富主题。在R包stoRy中实现了对Star Trek主题数据集进行主题丰富化分析的超几何测试方法。相关的R Shiny Web应用程序可以在https://github.com/theme-ontology/shiny-apps上找到。
英文摘要：
In this paper, we describe how the hypergeometric test can be used to determine whether a given theme of interest occurs in a storyset at a frequency more than would be expected by chance. By a storyset we mean simply a list of stories defined according to a common attribute (e.g., author, movement, period). The test works roughly as follows: Given a background storyset and a sub-storyset of interest, the test determines whether a given theme is over-represented in the sub-storyset, based on comparing the proportions of stories in the sub-storyset and background storyset featuring the theme. A storyset is said to be "enriched" for a theme with respect to a particular background storyset, when the theme is identified as being significantly over-represented by the test. Furthermore, we introduce here a toy dataset consisting of 280 manually themed Star Trek television franchise episodes. As a proof of concept, we use the hypergeometric test to analyze the Star Trek stories for enriched themes. The hypergeometric testing approach to theme enrichment analysis is implemented for the Star Trek thematic dataset in the R package stoRy. A related R Shiny web application can be found at https://github.com/theme-ontology/shiny-apps.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
