@inproceedings{mircea-2020-real,
title = "Real-time Classification, Geolocation and Interactive Visualization of {COVID}-19 Information Shared on Social Media to Better Understand Global Developments",
author = "Mircea, Andrei",
booktitle = "Proceedings of the 1st Workshop on {NLP} for {COVID}-19 (Part 2) at {EMNLP} 2020",
month = dec,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.nlpcovid19-2.37",
doi = "10.18653/v1/2020.nlpcovid19-2.37",
abstract = "As people communicate on social media during COVID-19, it can be an invaluable source of useful and up-to-date information. However, the large volume and noise-to-signal ratio of social media can make this impractical. We present a prototype dashboard for the real-time classification, geolocation and interactive visualization of COVID-19 tweets that addresses these issues. We also describe a novel L2 classification layer that outperforms linear layers on a dataset of respiratory virus tweets.",
}
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<abstract>As people communicate on social media during COVID-19, it can be an invaluable source of useful and up-to-date information. However, the large volume and noise-to-signal ratio of social media can make this impractical. We present a prototype dashboard for the real-time classification, geolocation and interactive visualization of COVID-19 tweets that addresses these issues. We also describe a novel L2 classification layer that outperforms linear layers on a dataset of respiratory virus tweets.</abstract>
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%0 Conference Proceedings
%T Real-time Classification, Geolocation and Interactive Visualization of COVID-19 Information Shared on Social Media to Better Understand Global Developments
%A Mircea, Andrei
%S Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020
%D 2020
%8 dec
%I Association for Computational Linguistics
%C Online
%F mircea-2020-real
%X As people communicate on social media during COVID-19, it can be an invaluable source of useful and up-to-date information. However, the large volume and noise-to-signal ratio of social media can make this impractical. We present a prototype dashboard for the real-time classification, geolocation and interactive visualization of COVID-19 tweets that addresses these issues. We also describe a novel L2 classification layer that outperforms linear layers on a dataset of respiratory virus tweets.
%R 10.18653/v1/2020.nlpcovid19-2.37
%U https://aclanthology.org/2020.nlpcovid19-2.37
%U https://doi.org/10.18653/v1/2020.nlpcovid19-2.37
Markdown (Informal)
[Real-time Classification, Geolocation and Interactive Visualization of COVID-19 Information Shared on Social Media to Better Understand Global Developments](https://aclanthology.org/2020.nlpcovid19-2.37) (Mircea, NLP-COVID19 2020)
ACL