This repository contains the annotated dataset, the unigrams, bigrams and trigrams referenced in the paper "The Longest Month: Analyzing the Dynamics of Opinions Regarding COVID-19 Vaccination from Tweets in the Month following the First Vaccine Announcement" published in IEEE Access. The paper is available at https://ieeexplore.ieee.org/document/9354776 .
The tweets have been collected between November 9, 2020 and December 8, 2020 as described in our paper. On November 9, 2020, Pfizer and BioNTech have made the announcement regarding the 90% COVID-19 vaccine efficiency. One month later, on December 8, 2020 the COVID-19 vaccination has started in the UK.
Note: The tweets have been minimally pre-processed before extracting the n-grams by removing stop words and duplicated white spaces.
Repository structure:
- dataset: contains a balanced dataset with 3249 tweets annotated in the categories "against" (0), "neutral" (1) and "in favor" (2);
- n-grams-all: daily unigrams and bigrams+trigrams extracted from the dataset containing all the 2.349.659 tweets, sorted by the number of appearances;
- n-grams-cleaned: daily unigrams and bigrams+trigrams extracted from the dataset containing the cleaned tweets (duplicates and retweets have been removed), sorted by the number of appearances.
In accordance with the Twitter policy, in the annotated dataset, only the tweet ids have been provided. The tweets can be hydrated using a tool such as Twarc (https://github.com/DocNow/twarc) or Hydrator (https://github.com/DocNow/hydrator).