Leveraging cross-media analytics to detect events and mine opinions for emergency management
文献类型：期刊论文
| 作者 | Xu, Wei1; Liu, Lingyu1; Shang, Wei2
|
| 刊名 | ONLINE INFORMATION REVIEW
 |
| 出版日期 | 2017 |
| 卷号 | 41期号:4页码:487-506 |
| 关键词 | Opinion mining Cross-media analytics Emergence management Event detection Semantic expansion |
| ISSN号 | 1468-4527 |
| DOI | 10.1108/OIR-08-2015-0286 |
| 英文摘要 | Purpose - Timely detection of emergency events and effective tracking of corresponding public opinions are critical in emergency management. As media are immediate sources of information on emergencies, the purpose of this paper is to propose cross-media analytics to detect and track emergency events and provide decision support for government and emergency management departments. Design/methodology/approach - In this paper, a novel emergency event detection and opinion mining method is proposed for emergency management using cross-media analytics. In the proposed approach, an event detection module is constructed to discover emergency events based on cross-media analytics, and after the detected event is confirmed as an emergency event, an opinion mining module is used to analyze public sentiments and then generate public sentiment time series for early warning via a semantic expansion technique. Findings - Empirical results indicate that a specific emergency can be detected and that public opinion can be tracked effectively and efficiently using cross-media analytics. In addition, the proposed system can be used for decision support and real-time response for government and emergency management departments. Research limitations/implications - This paper takes full advantage of cross-media information and proposes novel emergency event detection and opinion mining methods for emergency management using cross-media analytics. The empirical analysis results illustrate the efficiency of the proposed method. Practical implications - The proposed method can be applied for detection of emergency events and tracking of public opinions for emergency decision support and governmental real-time response. Originality/value - This research work contributes to the design of a decision support system for emergency event detection and opinion mining. In the proposed approaches, emergency events are detected by leveraging cross-media analytics, and public sentiments are measured using an auto-expansion of the domain dictionary in the field of emergency management to eliminate the misclassification of the general dictionary and to make the quantization more accurate. |
| 资助项目 | National Natural Science Foundation of China[71301163] ; National Natural Science Foundation of China[71571180] ; Humanities and Social Sciences Foundation of Ministry of Education[14YJA630075] ; Humanities and Social Sciences Foundation of Ministry of Education[15YJA630068] ; Hebei Social Science Fund[HB13GL021] ; Fundamental Research Funds for Central Universities ; Renmin University of China[10XNK159] ; Renmin University of China[15XNLQ08] |
| WOS研究方向 | Computer Science ; Information Science & Library Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000407682900004 |
| 出版者 | EMERALD GROUP PUBLISHING LTD |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/26241]  |
| 专题 | 系统科学研究所 |
| 通讯作者 | Shang, Wei |
| 作者单位 | 1.Renmin Univ China, Beijing, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Wei,Liu, Lingyu,Shang, Wei. Leveraging cross-media analytics to detect events and mine opinions for emergency management[J]. ONLINE INFORMATION REVIEW,2017,41(4):487-506. |
| APA | Xu, Wei,Liu, Lingyu,&Shang, Wei.(2017).Leveraging cross-media analytics to detect events and mine opinions for emergency management.ONLINE INFORMATION REVIEW,41(4),487-506. |
| MLA | Xu, Wei,et al."Leveraging cross-media analytics to detect events and mine opinions for emergency management".ONLINE INFORMATION REVIEW 41.4(2017):487-506. |
入库方式： OAI收割
来源：数学与系统科学研究院
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