Word embeddings and deep learning for location prediction: tracking Coronavirus from British and American tweets
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13278-021-00777-5.pdf
Reference60 articles.
1. Ahmouda A, Hochmair HH, Cvetojevic S (2018) Analyzing the effect of earthquakes on openstreetmap contribution patterns and tweeting activities. Geo-spatial Information Science 21(3), 195–212
2. Ao J, Zhang P, Cao Y (2014) Estimating the locations of emergency events from twitter streams. In: 2nd International Conference on Information Technology and Quantitative Management (ITQM), pp 731–739
3. Arora M, Kansal V (2019) Character level embedding with deep convolutional neural network for text normalization of unstructured data for twitter sentiment analysis. Social Network Analysis and Mining 9(1):12
4. Backstrom L, Kleinberg J, Kumar R, Novak J (2008) Spatial variation in search engine queries. In: Proceedings of the 17th international conference on World Wide Web (WWW), pp 357–366
5. Ballatore A, Wilson DC, Bertolotto M (2013) Computing the semantic similarity of geographic terms using volunteered lexical definitions. International Journal of Geographical Information Science 27(10), 2099–2118
Cited by 12 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. An Approach to Bodo Word Sense Disambiguation (WSD) Using Word2Vec;Smart Innovation, Systems and Technologies;2024
2. Role of machine learning in sentiment analysis: trends, challenges, and future directions;Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications;2024
3. CovTiNet: Covid text identification network using attention-based positional embedding feature fusion;Neural Computing and Applications;2023-03-14
4. Deep Learning Model for COVID-19 Sentiment Analysis on Twitter;New Generation Computing;2023-03-13
5. Impact of word embedding models on text analytics in deep learning environment: a review;Artificial Intelligence Review;2023-02-22
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