Sentiment Analysis of University Libraries during the Covid-19 Pandemic in Indonesia

Abstract

The purpose of this study was to analyze the sentiments of university library visitors during the pandemic. Data collection techniques using web scraping techniques using a data scraper application. The data is taken from Google reviews as many as 261 reviews from ten universities in Indonesia. Data analysis technique using Vader method for sentiment analysis and Ekman method for classification of emotional sentiment. The results of the sentiment analysis in this study show that visitor satisfaction is quite high at the university library during the pandemic. Positive sentiment in the university library is 80.8% and the classification of emotional sentiment is dominated by joy as much as 71.6% compared to other sentiments such as negative, fear, and sadness. These results indicate that visits to the university library can still be carried out well even though there are many limitations in activities in the library because of the pandemic.