University of Illinois Urbana-Champaign

Sentiment analysis of the Saudi Digital Library (SDL) tweets interactions

Alsalmi, Hany M.

Content Files
Contribution_400_final.pdf

Permalink

https://hdl.handle.net/2142/106549

Description

Title
Sentiment analysis of the Saudi Digital Library (SDL) tweets interactions
Author(s)
Alsalmi, Hany M.
Issue Date
2020-03-23
Keyword(s)
  • Digital library
  • Twitter
  • Arabic text
  • User’s needs
Date of Ingest
2020-03-17T23:28:46Z
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.
Publisher
iSchools
Series/Report Name or Number
iConference 2020 Proceedings
Type of Resource
  • text
  • image
Genre of Resource
Conference Poster
Language
eng
Permalink
http://hdl.handle.net/2142/106549
Copyright and License Information
Copyright 2020 Hany M. Alsalmi

Owning Collections

iConference 2020 Poster Descriptions PRIMARY