Published June 13, 2024
| Version v1
Dataset
Open
Labeled data and models for COVID-19 vaccine related tweets with stance, location, and topics
Authors/Creators
- 1. Northern Illinois University
-
2.
University of South Carolina
Description
The dataset contains Tweet IDs along with the location and tweet timestamp. The tweets are labeled based on motivating/demotivating status, stance towards the COVID-19 vaccine, and topic in the tweet text. To comply with Twitter guidelines, we removed the tweet texts and author information. You can use Hydrator API to hydrate the tweets.
The repository also contains the machine-learning models for topic modeling, de/motivation classifier, and stance detection from the tweets.
Files
anonymized_tweets_with_labels.csv
Files
(6.6 GB)
| Name | Size | Download all |
|---|---|---|
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md5:5d795c9be77408d69cc0bdf916624c82
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48.7 MB | Preview Download |
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md5:bed44686a54db0d5867e8dd35e0755ff
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662.7 MB | Download |
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md5:eb87f58fd38ac7d987f722cd6d6ee495
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1.2 GB | Download |
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md5:5e54038c1ee75a81a0a11ec636971b4c
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3.7 GB | Download |
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md5:ea5c32d80ef296f81c89b15c5862d042
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981.5 MB | Download |
Additional details
Identifiers
Related works
- Is derived from
- Journal article: 10.1016/j.nlp.2024.100085 (DOI)
Software
- Programming language
- Python