A Text Mining Approach to Discover Real-Time Transit Events from Twitter
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-02828-2_12
Reference32 articles.
1. Arias M, Arratia A, Xuriguera R (2014) Forecasting with twitter data. ACM Trans Intell Syst Technol 5(1):8:1–8:24
2. Banados JA, Espinosa KJ (2014) Optimizing support vector machine in classifying sentiments on product brands from twitter. In: The 5th international conference on information, intelligence, systems and applications, IISA 2014, pp 75–80. IEEE
3. Bisio F, Meda C, Zunino R, Surlinelli R, Scillia E, Ottaviano A (2015) Realtime monitoring of twitter traffic by using semantic networks. In: Proceedings of the 2015 IEEE/ACM international conference on advances in social networks analysis and mining 2015, ASONAM 2015, New York, NY, USA, pp 966–969. ACM
4. Springer Geography;Axel Borsdorf,2015
5. Cao J, Zeng K, Wang H, Cheng J, Qiao F, Wen D, Gao Y (2014) Web-based traffic sentiment analysis: methods and applications. IEEE Trans Intell Transp Syst 15(2):844–853
Cited by 1 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. Social media semantic perceptions on Madrid Metro system: Using Twitter data to link complaints to space;Sustainable Cities and Society;2021-01
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