{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:27:39Z","timestamp":1777854459643,"version":"3.51.4"},"reference-count":47,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2017,1,23]],"date-time":"2017-01-23T00:00:00Z","timestamp":1485129600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2018,4]]},"abstract":"<jats:p>Sentiment analysis (SA) techniques are applied to assess aspects of language that are used to express feelings, evaluations and opinions in areas such as customer sentiment extraction. Most studies have focused on SA techniques for widely used languages such as English, but less attention has been paid to Arabic, particularly the Saudi dialect. Most Arabic SA studies have built systems using supervised approaches that are domain dependent; hence, they achieve low performance when applied to a new domain different from the learning domain, and they require manually labelled training data, which are usually difficult to obtain. In this article, we propose a novel lexicon-based algorithm for Saudi dialect SA that features domain independence. We created an annotated Saudi dialect dataset and built a large-scale lexicon for the Saudi dialect. Then, we developed our weighted lexicon-based algorithm. The proposed algorithm mines the associations between polarity and non-polarity words for the dataset and then weights these words based on their associations. During algorithm development, we also proposed novel rules for handling some linguistic features such as negation and supplication. Several experiments were performed to evaluate the performance of the proposed algorithm.<\/jats:p>","DOI":"10.1177\/0165551516688143","type":"journal-article","created":{"date-parts":[[2017,1,23]],"date-time":"2017-01-23T06:22:22Z","timestamp":1485152542000},"page":"184-202","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":45,"title":["Towards enhancement of a lexicon-based approach for Saudi dialect sentiment analysis"],"prefix":"10.1177","volume":"44","author":[{"given":"Adel","family":"Assiri","sequence":"first","affiliation":[{"name":"Information Systems Department, King Saud University, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed","family":"Emam","sequence":"additional","affiliation":[{"name":"Information Systems Department, King Saud University, Saudi Arabia; Computer Science Department, Menoufia University, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hmood","family":"Al-Dossari","sequence":"additional","affiliation":[{"name":"Information Systems Department, King Saud University, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2017,1,23]]},"reference":[{"key":"bibr1-0165551516688143","doi-asserted-by":"publisher","DOI":"10.2200\/S00416ED1V01Y201204HLT016"},{"key":"bibr2-0165551516688143","doi-asserted-by":"publisher","DOI":"10.4018\/ijitwe.2014070104"},{"key":"bibr3-0165551516688143","first-page":"519","volume-title":"Proceedings of the 12th international conference on World Wide Web","author":"Dave K"},{"key":"bibr4-0165551516688143","first-page":"70","volume-title":"Proceedings of the 2nd international conference on knowledge capture","author":"Nasukawa T"},{"key":"bibr5-0165551516688143","first-page":"231","volume-title":"Proceedings of the 2008 international conference on web search and 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