Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic-Reference-Cited by-同舟云学术

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Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic

Published:2020-12-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Big Data (Big Data)
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Author:

Agarwal Ankita,Salehundam Preetham,Padhee Swati,Romine William L.,Banerjee Tanvi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9377717/9377728/09378028.pdf?arnumber=9378028

Cited by 5 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. Insights from the COVID-19 Pandemic: A Survey of Data Mining and Beyond;Applied Spatial Analysis and Policy;2024-06-22

2. HatEmoTweet: low-level emotion classifications and spatiotemporal trends of hate and offensive COVID-19 tweets;Social Network Analysis and Mining;2023-10-18

3. Public Perception Towards Children's COVID-19 Vaccination with Natural Language Processing;2023-06-29

4. Dynamic Topic Modeling to Mine Themes and Evolution during the Initial COVID-19 Vaccine Rollout;Health Behavior and Policy Review;2023-06-01

5. An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter;International Journal of Data Science and Analytics;2022-05-06

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