{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T07:14:57Z","timestamp":1760426097545,"version":"3.40.5"},"reference-count":0,"publisher":"Informing Science Institute","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["InformingSciJ"],"abstract":"<jats:p>Aim\/Purpose: Nigeria\u2019s university education goes through incessant strikes by the Academic Staff Union of Universities (ASUU). This strike has led to shared emotion on micro-blogging sites like Twitter. This study analyzed selected historical tweets from the \u201cASUU\u201d to understand citizens\u2019 opinions.\n\nBackground: The researchers conducted sentiment analysis and topic modelling to understand Twitter users\u2019 opinions on the strike.\n\nMethodology: The researchers used the Valence Aware Dictionary for Sentiment Reasoning (VADER) technique for sentiment analysis, and the Latent Dirichlet allocation (LDA) was used for topic modelling. A total of 10,000 tweets were first extracted for the study. After data cleaning, 1323 tweets were left.\n\nContribution: To the researcher\u2019s best knowledge, no published study has presented a sentiment analysis on the topic of the ASUU strike using the Twitter dataset. This research will fill this gap by providing a sentiment analysis and drawing out subjects by exploring the tweets on the phrase \u201cASUU.\u201d\n\nFindings: The sentiment analysis result using VADER returned 567 tweets as \u2018Negative,\u2019 with the remaining 544 and 212 categorized as Positive and Neutral. The result of the LDA returned six topics, all comprising seven keywords. The topics were the solution to the strike, ASUU strike effect, strike Call-off, appeal to ASUU, student protest and student appeal.\n\nRecommendation for Researchers: Researchers can use this study\u2019s findings to compare with other contexts of opinion mining.\n\nPractitioners may also use the research to understand better the attitudes of their staff and students about the strikes to create actionable solutions before the suspension of the strike.\n\nFuture Research: Future studies can collect information from other social networking and blogging sites.\n\n<\/jats:p>","DOI":"10.28945\/5035","type":"journal-article","created":{"date-parts":[[2022,11,5]],"date-time":"2022-11-05T22:43:56Z","timestamp":1667688236000},"page":"183-196","source":"Crossref","is-referenced-by-count":3,"title":["The Good, the Bad, and the Neutral: Twitter Users\u2019 Opinion on the ASUU Strike"],"prefix":"10.28945","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6534-4988","authenticated-orcid":false,"given":"Abubakar","family":"Sadiq Muhammad","sequence":"first","affiliation":[{"name":"Cyprus International University"}]},{"given":"Muesser","family":"Nat","sequence":"additional","affiliation":[{"name":"Cyprus International University"}]}],"member":"11490","published-online":{"date-parts":[[2022]]},"container-title":["Informing Science: The International Journal of an Emerging Transdiscipline"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.inform.nu\/Articles\/Vol25\/ISJv25p183-196Muhammad8668.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/www.inform.nu\/Articles\/Vol25\/ISJv25p183-196Muhammad8668.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,5]],"date-time":"2022-11-05T22:43:57Z","timestamp":1667688237000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.informingscience.org\/Publications\/5035"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":0,"alternative-id":["5035"],"URL":"https:\/\/doi.org\/10.28945\/5035","relation":{},"ISSN":["1547-9684","1521-4672"],"issn-type":[{"type":"print","value":"1547-9684"},{"type":"electronic","value":"1521-4672"}],"subject":[],"published":{"date-parts":[[2022]]}}}