Assessment of Iterative Semi-Supervised Feature Selection Learning for Sentiment Analyses: Digital Currency Markets-Reference-Cited by-同舟云学术

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Assessment of Iterative Semi-Supervised Feature Selection Learning for Sentiment Analyses: Digital Currency Markets

Published:2020-02 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 14th International Conference on Semantic Computing (ICSC)
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Author:

Akba Firat,Medeni Ihsan Tolga,Guzel Mehmet Serdar,Askerzade Iman

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9022806/9031442/09031448.pdf?arnumber=9031448

Cited by 8 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

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5. Twitter Mining based Forecasting of Cryptocurrency using Sentimental Analysis of Tweets;2022 Global Conference on Wireless and Optical Technologies (GCWOT);2022-02-14

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