ClioQuery: Interactive Query-oriented Text Analytics for Comprehensive Investigation of Historical News Archives

ClioQuery: Interactive Query-oriented Text Analytics for Comprehensive Investigation of Historical News Archives
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DOI:
10.1145/3524025
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发表时间:
2022-04
期刊:
ACM Transactions on Interactive Intelligent Systems (TiiS)
影响因子:
--
通讯作者:
Abram Handler;Narges Mahyar;Brendan T. O'Connor
Abram Handler;Narges Mahyar;Brendan T. O'Connor
中科院分区:
其他
文献类型:
--
作者:
Abram Handler;Narges Mahyar;Brendan T. O'Connor

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历史学家和档案学家经常在报纸档案中发现和分析查询词的出现,以帮助回答有关社会的基本问题。但文本分析的许多工作都集中在帮助人们调查其他文本单元,如事件、聚类、排名文档、实体关系或主题层次结构。通过对历史学家和档案管理员需求的研究,我们提出了ClioQuery,一个独特的文本分析系统,围绕上下文中的查询词进行分析。ClioQuery应用自然语言处理中的文本简化技术,帮助历史学家快速、全面地收集和分析档案中查询词的所有出现情况。它还将这些新的NLP方法与更传统的功能(如链接视图和文本内突出显示)配对,以帮助在摘要技术中产生信任。我们评估ClioQuery与两个独立的用户研究,历史学家解释如何ClioQuery的小说文本简化功能可以帮助促进历史研究。我们还进行了一项单独的定量比较研究,结果表明ClioQuery可以帮助众包工作者找到并记住历史信息。这些结果表明,在其他面向查询的设置文本分析可能的新方向。
Historians and archivists often find and analyze the occurrences of query words in newspaper archives to help answer fundamental questions about society. But much work in text analytics focuses on helping people investigate other textual units, such as events, clusters, ranked documents, entity relationships, or thematic hierarchies. Informed by a study into the needs of historians and archivists, we thus propose ClioQuery, a text analytics system uniquely organized around the analysis of query words in context. ClioQuery applies text simplification techniques from natural language processing to help historians quickly and comprehensively gather and analyze all occurrences of a query word across an archive. It also pairs these new NLP methods with more traditional features like linked views and in-text highlighting to help engender trust in summarization techniques. We evaluate ClioQuery with two separate user studies, in which historians explain how ClioQuery’s novel text simplification features can help facilitate historical research. We also evaluate with a separate quantitative comparison study, which shows that ClioQuery helps crowdworkers find and remember historical information. Such results suggest possible new directions for text analytics in other query-oriented settings.