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People write on a wide range of topics. These writings embed valuable information for organizations and industries. This paper introduces a novel framework for sentiment detection in Arabic tweets. The heart of this framework is a sentiment lexicon. This lexicon was built by translating the SentiStrength English sentiment lexicon into Arabic and afterwards the lexicon was expanded using Arabic thesauri. To assess the viability of the suggested framework, the authors have collected and manually annotated a set of 4400 Arabic tweets. These tweets were classified according to their sentiment into positive or negative tweets using the proposed framework. The results reveal that lexicons are helpful for sentiment detection. The overall results are encouraging and open venues for future research.<\/jats:p>","DOI":"10.3233\/ifs-151574","type":"journal-article","created":{"date-parts":[[2015,10,6]],"date-time":"2015-10-06T12:00:38Z","timestamp":1444132838000},"page":"107-117","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":34,"title":["Detecting sentiment embedded in Arabic social media \u2013 A lexicon-based approach"],"prefix":"10.1177","volume":"29","author":[{"given":"R.M.","family":"Duwairi","sequence":"first","affiliation":[{"name":"Department of Computer Information Systems, Jordan University of Science and Technology, Irbid, Jordan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nizar A.","family":"Ahmed","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saleh Y.","family":"Al-Rifai","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2015,9,23]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/1361684.1361685"},{"key":"e_1_3_2_3_2","unstructured":"Abdul-MageedMKublerSDiabM2012SAMAR: A system for subjectivity and sentiment analysis of Arabic Social Media. 3rd Workshop on Computational Approaches for Subjectivity and Sentiment Analysis WASSA Satellite Workshop Jeju Koera"},{"key":"e_1_3_2_4_2","first-page":"587","article-title":"Subjectivity and sentiment analysis of modern standard Arabic","author":"Abdul-Mageed M","year":"2011","unstructured":"Abdul-MageedMDiabMKorayemM2011Subjectivity and sentiment analysis of modern standard ArabicProceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Short papers-Vol 2587591","journal-title":"Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Short papers-Vol 2"},{"key":"e_1_3_2_5_2","article-title":"Multi-lingual Sentiment Analysis of Financial News Streams. 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