Alternative TitleA study on 5W extraction for societal risk events based on hot news search words
许诺; 唐锡晋
Source Publication系统工程理论与实践
Other AbstractCurrent China is at a critical period of economic growth transformation and upgrading with the historical changes in the principal contradiction of Chinese society.Risky events occur more frequently than ever,which has an adverse impact on social stability.On-line community concerns have been mapped into respective societal risks.What we concern is how to automatically recognize and distinctly describe societal risk events.We propose an event 5 W extraction framework to describe societal risk events in a structured way.5 W refers to where,who,when,why and what.The task for extracting 5 W for risk events is converted into different machine learning tasks,which are:Named entity recognition,risk category classification,and keyword extraction.According to tasks of 5 W extraction,we try to explore and develop effective methods.The 5 W framework allows to automatically extract structured information from societal risk event(a kind of wicked problem) and provides a new perspective to study societal risk,which is of great significance for social management to conduct public opinion analysis and risk monitoring.
Keywordsocietal risk events hot news search words 5W CRFs risk-labeled keywords 热搜新闻词 社会风险事件 5W 条件随机场 风险主题词
Indexed ByCSCD
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Document Type期刊论文
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GB/T 7714
许诺,唐锡晋. 基于百度热搜新闻词的社会风险事件5W提取研究[J]. 系统工程理论与实践,2020,40(2):334-342.
APA 许诺,&唐锡晋.(2020).基于百度热搜新闻词的社会风险事件5W提取研究.系统工程理论与实践,40(2),334-342.
MLA 许诺,et al."基于百度热搜新闻词的社会风险事件5W提取研究".系统工程理论与实践 40.2(2020):334-342.
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