A lightweight and multilingual framework for crisis information extraction from Twitter data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s13278-019-0608-4.pdf
Reference42 articles.
1. Arthur D, Vassilvitskii S (2007) k means++: the advantages of careful seeding. In: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, pp 1027–1025
2. Bakshy E, Hofman JM, Mason WA, Watts DJ (2011) Everyone’s an influencer: quantifying influence on Twitter. In: Proceedings ACM conference on web search and web data mining (WSDM), pp 65–74
3. Basu M, Ghosh K, Das S, Dey R, Bandyopadhyay S, Ghosh S (2017) Identifying post-disaster resource needs and availabilities from microblogs. In Proceedings of IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM), pp 427–430
4. Berlingerio M, Calabrese F, Di Lorenzo G, Dong X, Gkoufas Y, Mavroeidis D (2013) SaferCity: a system for detecting and analyzing incidents from social media. In: Proceedings of international conference on data mining workshops (ICDMW), pp 1077–1080
5. Bizid I, Nayef N, Boursier P, Faïz S, Doucet A (2015a) Identification of microblogs prominent users during events by learning temporal sequences of features. In: Proceedings ACM conference on information and knowledge management (CIKM), pp 1715–1718
Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. How can text mining improve the explainability of Food security situations?;Journal of Intelligent Information Systems;2023-12-11
2. Detecting crisis events from unstructured text data using signal words as crisis determinants;International Journal of Digital Earth;2023-11-12
3. Systematic Literature Review of Information Extraction From Textual Data: Recent Methods, Applications, Trends, and Challenges;IEEE Access;2023
4. Crisis Management, Internet, and AI: Information in the Age of COVID-19 and Future Pandemics;Mathematical Modeling and Intelligent Control for Combating Pandemics;2023
5. DEES: a real-time system for event extraction from disaster-related web text;Social Network Analysis and Mining;2022-12-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3