TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic-Reference-Cited by-同舟云学术

TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Dimitrov Dimitar¹,Baran Erdal¹,Fafalios Pavlos²,Yu Ran¹,Zhu Xiaofei³,Zloch Matthäus¹,Dietze Stefan⁴

Affiliation:

1. GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany

2. Institute of Computer Science, FORTH-ICS, Heraklion, Greece

3. Chongqing University of Technology, Chongqing, China

4. GESIS - Leibniz Institute for the Social Sciences, Heinrich-Heine-University, & L3S Research Center, Cologne, Düsseldorf & Hannover, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3412765

Reference34 articles.

1. Sarah Alqurashi Ahmad Alhindi and Eisa Alanazi. 2020. Large arabic twitter dataset on covid-19. arXiv preprint arXiv:2004.04315 Sarah Alqurashi Ahmad Alhindi and Eisa Alanazi. 2020. Large arabic twitter dataset on covid-19. arXiv preprint arXiv:2004.04315

2. Juan M. Banda Ramya Tekumalla Guanyu Wang Jingyuan Yu Tuo Liu Yuning Ding Katya Artemova Elena Tutubalina and Gerardo Chowell. 2020. A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration. https://doi.org/10.5281/zenodo.3831406 Juan M. Banda Ramya Tekumalla Guanyu Wang Jingyuan Yu Tuo Liu Yuning Ding Katya Artemova Elena Tutubalina and Gerardo Chowell. 2020. A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration. https://doi.org/10.5281/zenodo.3831406

3. Fast and Space-Efficient Entity Linking for Queries

4. SIOC: an approach to connect web-based communities

5. Twitter as a first draft of the present

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