Digging Deeper into Text Mining: Academics and Agencies Look Toward Unstructured Data

Goth Greg

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Digging Deeper into Text Mining: Academics and Agencies Look Toward Unstructured Data

机译：深入挖掘文本挖掘：学术界和机构都看重非结构化数据

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In an effort to help government officials anticipate significant events such as political unrest, disease outbreaks, or natural disasters, the US government's Intelligence Advanced Research Projects Agency is launching a mass dataset mining effort, hoping to develop technologies that can mine disparate sources such as blogs, search engine results, Internet traffic, webcams, and many others. Researchers in the natural and social sciences have long been doing similar work, however, which might serve to show the current limitations of computational linguistics, especially in trying to discern, on the fly, events that could have significant policy implications.

机译：为了帮助政府官员预见重大事件，例如政治动荡，疾病暴发或自然灾害，美国政府的情报高级研究计划局正在开展大规模的数据集挖掘工作，希望开发能够挖掘不同来源（例如博客）的技术，搜索引擎结果，互联网流量，网络摄像头等。自然科学和社会科学的研究人员长期以来一直在从事类似的工作，这可能有助于显示计算语言学的当前局限性，尤其是在试图动态识别可能具有重大政策影响的事件中。

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《Internet Computing, IEEE》 |2012年第1期|p.7-9|共3页
作者
Goth Greg;
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原文格式 PDF
正文语种 eng
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关键词
IARPA; computational linguistics; data mining; large datasets; public policy;

机译：IARPA;计算语言学;数据挖掘;大型数据集;公共政策;

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机译：挖掘非结构化数据的文本分类算法：SWOT分析
2. INCIDENCE OF DE NOVO AND RECURRENT GLOMERULONEPHRITIS POST RENAL TRANSPLANTATION IN THE UNITED KINGDOM: USE OF TEXT MINING TO ASSESS UNSTRUCTURED DATA IN A LARGE COHORT [J] . Chowdhury Paramit, Bourmpaki Elli, Oliveira Giovani, Transplant international : . 2019,第S2期

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3. Modelling the sensory space of varietal wines: Mining of large, unstructured text data and visualisation of style patterns [J] . Carlo C. Valente, Florian F. Bauer, Fritz Venter, Scientific reports. . 2018,第1期

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4. SELF-HEALING CUSTOMER DATA QUALITY ISSUES THROUGH INTERPRETATION OF UNSTRUCTURED DATA: TEXT MINING AND MACHINE LEARNING APPLIED (PROJECT IRENE) [C] . Kannan Chandrasekaran, Delphine Clement The 20th International Conference on Information Quality: Making High Quality Data the Norm . 2015

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5. Re-thinking student written comments in course evaluations: Text mining unstructured data for program and institutional assessment. [D] . Jordan, Donald W. 2011

机译：在课程评估中重新考虑学生的书面评论：文本挖掘非结构化数据，用于计划和机构评估。
6. Modelling the sensory space of varietal wines: Mining of large unstructured text data and visualisation of style patterns [O] . Carlo C. Valente, Florian F. Bauer, Fritz Venter, -1

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7. Predicting Project’s Uncertainty Risk in the Bidding Process by Integrating Unstructured Text Data and Structured Numerical Data Using Text Mining [O] . JeeHee Lee, June-Seong Yi 2017

机译：通过使用文本挖掘将非结构化文本数据和结构化的数值数据集成，预测项目的不确定性风险

Digging Deeper into Text Mining: Academics and Agencies Look Toward Unstructured Data

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