Libraries and COVID-19: What users expressed on Twitter

Abstract

Due to the pandemic hit, libraries worldwide face hard choices around which services to offer and how. In this study, we present the Twitter sentimental analysis on libraries and COVID-19. We used the Mozdeh Big Data Text Analysis to collect 23 tweets in the English language. The findings reported that most female and male tweets have come under the score of “1”, which means the positive and negative sentiments are “None”. The hashtag ‘#libraries’ was the most occurred hashtag in the user tweets (3 times). Furthermore, the word occurrence delineated that the words “and”, “librarie” and “covid-19” were the frequented ones with 49, 41 and 39 times, respectively. The present study results give the stakeholders a hint to analyse the user sentiments for different decisions to improve the library services amid these uncertain pandemics