COVIDSentiRO

Citation Author(s):
Alexandra
Ciobotaru
University of Bucharest, Faculty of Mathematics and Computer Science
Submitted by:
Alexandra Ciobotaru
Last updated:
Mon, 07/08/2024 - 15:59
DOI:
10.21227/a7az-aw35
Data Format:
*.csv
License:
Creative Commons Attribution
19 Views
Categories:
COVID-19
Keywords:
Corona Twitter Sentiment
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Abstract 

COVIDSentiRO contains 19319 Romanian tweets extracted in the time-frame 01.01.2021 - 28.02.2022 using query words related to COVID-19 vaccination. Each tweet has its timestamp associated and is labelled with positive, negative and neutral, using the SART dataset for sentiment analysis.

Instructions: 

COVIDSentiRO dataset contains 19319 Romanian tweets regarding COVID19. After predicting each tweet's sentiment using SART dataset, 9718 tweets received the label "negative", 8039 were "neutral" and "1562" positive.

Each tweet is associated with its published timestamp, sentiment label and probability.

For anonimity reasons, we removed usernames from this dataset.

Dataset Files

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