I-Corps: Probabilistically Detecting Controversy

I-Corps：概率性检测争议

• 批准号: 1721069
• 负责人: James Allan
• 金额: $ 5万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-03-01 至 2018-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1721069&HistoricalAwards=false
• 关键词: Corps; Probabilistically; Detecting; Controversy

The broader impact/commercial potential of this I-Corps project is in leveraging past research on detecting controversy and bringing this technology to a commercial setting. The project provides actionable insights to organizations interested in securities trading, through the usage of sophisticated machine learning and information retrieval techniques for controversial topics. The project will initially explore markets in the financial services sector that derive some portion of the value for their clients from acquired data streams. Besides the financial industry, there are applications of the technology in reputation and crisis management, as well as scope for social impact by opening analysis and explanatory power of controversies to individual users. The project has the potential to help users become better informed and more capable of critically evaluating the often-overwhelming stream of content.This I-Corps project technology relies on sophisticated machine learning and information retrieval techniques in order to automatically detect controversial topics. The enabling NSF-supported research recognized controversy by mapping a webpage to algorithmically-identified controversial topics. The proposed commercialization effort is unique because it addresses controversy and crisis situations. The project's hypothesis is that this technology can be successfully commercialized to the financial, equity-trading industry given their revenue model and cost structure. The project will use the lean startup method to perform customer interviews and explore the viability of a scalable business model.

这个i-Corps项目的更广泛的影响/商业潜力是利用过去关于发现争议并将这项技术转化为商业环境的研究。该项目通过使用复杂的机器学习和针对有争议的主题的信息检索技术，为对证券交易感兴趣的组织提供可操作的见解。该项目最初将探索金融服务部门的市场，这些市场为客户从获得的数据流中获得部分价值。除了金融行业，该技术在声誉和危机管理方面也有应用，并通过向个人用户开放分析和解释争议的能力来扩大社会影响的范围。该项目有可能帮助用户变得更了解情况，更有能力对往往铺天盖地的内容流进行批判性评估。这项i-Corps项目技术依赖于复杂的机器学习和信息检索技术，以便自动检测有争议的话题。这项由美国国家科学基金会支持的研究通过将网页映射到算法确定的有争议的主题来认识到争议。拟议的商业化努力是独一无二的，因为它解决了争议和危机情况。该项目的假设是，鉴于金融和股权交易行业的收入模式和成本结构，这项技术可以成功地商业化。该项目将使用精益启动方法来进行客户访谈，并探索可扩展商业模式的可行性。