Coronavirus (COVID-19) Geo-tagged Tweets Dataset

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Lamsal, Rabindra

Description

This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 54 different keywords that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Below is the quick overview of this dataset.— Number of tweets : 151,945 tweets

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.4

FAIR Score

58%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

IEEE DataPort

Assigned Domain

Subfield

Safety Research

Field

Social Sciences

Domain

Social Sciences

Confidence Score

55%

Source

Scholar Data Model

Keywords

COVID-19Machine LearningCorona Tweets DatasetCOVID-19 Tweets DatasetCorona TweetsCOVID-19 TweetsCorona Twitter SentimentCOVID-19 Twitter SentimentSARS-CoV-2 Tweets DatasetSARS-CoV-2 Twitter SentimentCoronavirus English Tweets DatasetCOVID-19 English Tweets DatasetCoronavirus Geotagged TweetsCOVID-19 Geotagged Tweets

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00