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Title:Sentiment analysis of the Saudi Digital Library (SDL) tweets interactions
Author(s):Alsalmi, Hany M.
Subject(s):Digital library
Arabic text
User’s needs
Abstract:In July 2011, the Saudi Digital Library (SDL) created a Twitter account to serve as a primary means for customer interaction, support, and a Q&A page. The SDL account actively tweets about SDL news, recently-added databases, and training venues, dates, and times. It is interesting to see SDL users interact with the SDL account on Twitter, but how beneficial is it? This study investigates the reactions of people who use the SDL to SDL tweets via Twitter, using a manual sentiment content analysis approach to analyze the interactions. The content analysis consists of counting the number of likes and retweets, whether the questions posted receive answers, and lastly categorizing the sentiment expressed in tweets as 'positive,' 'negative,' and 'neutral.' The students' interaction with SDL through Twitter ranges between positive and neutral. Students seem to like tweets about news and instructions about the SDL. However, students do not seem to find solutions to the problems they are having; instead, they are directed elsewhere to find help.
Issue Date:2020-03-23
Series/Report:iConference 2020 Proceedings
Genre:Conference Poster
Rights Information:Copyright 2020 Hany M. Alsalmi
Date Available in IDEALS:2020-03-17

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