Identifying Relevant Users and Groups in the Context of Credit Analysis Based on Data from Twitter-Reference-Cited by-同舟云学术

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Identifying Relevant Users and Groups in the Context of Credit Analysis Based on Data from Twitter

Published:2013-09 Issue: Volume: Page:
ISSN:
Container-title:2013 International Conference on Cloud and Green Computing
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Author:

Danyllo W.A.,Alisson V.B.,Alexandre N.D.,Moacir L.M.J.,Jansepetrus B.P.,Oliveira Roberto Felicio

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6685965/6685991/06686094.pdf?arnumber=6686094

Cited by 6 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. Credit Scoring with AHP and Fuzzy Comprehensive Evaluation Based on Behavioural Data from Weibo Platform;Tehnicki vjesnik - Technical Gazette;2019-04

2. A member recognition approach for specific organizations based on relationships among users in social networking Twitter;Future Generation Computer Systems;2019-03

3. Analysis and Exploitation of Twitter Data Using Machine Learning Techniques;Advances in Intelligent Systems and Computing;2017-12-28

4. Ten simple rules for responsible big data research;PLOS Computational Biology;2017-03-30

5. Review on event detection techniques in social multimedia;Online Information Review;2016-06-13

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