{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T22:16:04Z","timestamp":1767651364205,"version":"3.40.5"},"reference-count":25,"publisher":"IGI Global","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,4]]},"abstract":"<jats:p>Sentiment analysis is one of the recent areas of emerging research in the classification of sentiment polarity and text mining, particularly with the considerable number of opinions available on social media. The Algerian Operator Telephone Ooredoo, as other operators, deploys in its new strategy to conquer new customers, by exploiting their opinions through a sentiments analysis. The purpose of this work is to set up a system called \u201cOoredoo Rayek\u201d, whose objective is to collect, transliterate, translate and classify the textual data expressed by the Ooredoo operator's customers. This article developed a set of rules allowing the transliteration from Algerian Arabizi to Algerian dialect. Furthermore, the authors used Na\u00efve Bayes (NB) and (Support Vector Machine) SVM classifiers to assign polarity tags to Facebook comments from the official pages of Ooredoo written in multilingual and multi-dialect context. Experimental results show that the system obtains good performance with 83% of accuracy.<\/jats:p>","DOI":"10.4018\/ijtd.2020040105","type":"journal-article","created":{"date-parts":[[2020,2,28]],"date-time":"2020-02-28T12:39:00Z","timestamp":1582893540000},"page":"66-81","source":"Crossref","is-referenced-by-count":5,"title":["Ooredoo Rayek"],"prefix":"10.4018","volume":"11","author":[{"given":"Badia","family":"Klouche","sequence":"first","affiliation":[{"name":"LabRI-SBA Laboratory, Ecole Superieure en Informatique, Sidi Bel Abbes, Algeria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7008-7434","authenticated-orcid":true,"given":"Sidi Mohamed","family":"Benslimane","sequence":"additional","affiliation":[{"name":"LabRI-SBA Laboratory, Ecole Superieure en Informatique, Sidi Bel-Abbes, Algeria"}]},{"given":"Sakina Rim","family":"Bennabi","sequence":"additional","affiliation":[{"name":"Ecole Superieure en Informatique, Sidi Bel Abbes, Algeria"}]}],"member":"2432","reference":[{"key":"IJTD.2020040105-0","doi-asserted-by":"publisher","DOI":"10.1145\/1361684.1361685"},{"key":"IJTD.2020040105-1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2013.03.001"},{"key":"IJTD.2020040105-2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCEEE.2018.8515844"},{"key":"IJTD.2020040105-3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCISci.2019.8716466"},{"key":"IJTD.2020040105-4","doi-asserted-by":"publisher","DOI":"10.1177\/0165551515610513"},{"key":"IJTD.2020040105-5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-13705-2_2"},{"key":"IJTD.2020040105-6"},{"key":"IJTD.2020040105-7","doi-asserted-by":"crossref","unstructured":"Darwish, K. (2015). Arabizi Detection and Conversion to Arabic.","DOI":"10.3115\/v1\/W14-3629"},{"key":"IJTD.2020040105-8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2010.24"},{"key":"IJTD.2020040105-9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eij.2019.03.002"},{"issue":"4","key":"IJTD.2020040105-10","first-page":"1","article-title":"Arabic Natural Language Processing","volume":"8","author":"A.Farghaly","year":"2009","journal-title":"Challenges and Solutions"},{"key":"IJTD.2020040105-11","unstructured":"Guellil, I., Azouaou, F., Abbas, M., & Fatiha, S. (2017). Arabizi transliteration of Algerian Arabic dialect into Modern Standard Arabic. In Social MT 2017\/First workshop on Social Media and User Generated Content Machine Translation. Academic Press."},{"key":"IJTD.2020040105-12","unstructured":"Guellil, I., Azouaou, F., Saadane, H., Semmar, N., & Commission, A. E. (2018). Une approche fond\u00e9e sur les lexiques d\u2019analyse de sentiments du dialecte alg\u00e9rien. TAL Traitement Automatique des Langues, 58(3), 41-65."},{"key":"IJTD.2020040105-13","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4020-6046-5"},{"issue":"2","key":"IJTD.2020040105-14","article-title":"Tunisian Arabic Chat Alphabet Transliteration Using Probabilistic Finite State Transducers.","volume":"16","author":"N.Karmani","year":"2016","journal-title":"The International Arab Journal of Information Technology"},{"key":"IJTD.2020040105-15","doi-asserted-by":"publisher","DOI":"10.3844\/jcssp.2014.1961.1968"},{"key":"IJTD.2020040105-16","doi-asserted-by":"publisher","DOI":"10.1504\/IJIEI.2016.10001302"},{"key":"IJTD.2020040105-17","unstructured":"Klouche, B., & Benslimane, S. (2019). Multilingual sentiments analysis to improve the quality of services provided by Algerian telephone operator. In Proceedings of JERI\u20192019. Academic Press."},{"key":"IJTD.2020040105-18","doi-asserted-by":"publisher","DOI":"10.1162\/COLI"},{"key":"IJTD.2020040105-19","doi-asserted-by":"crossref","unstructured":"Mataoui, M. (2016). A Proposed Lexicon-Based Sentiment Analysis Approach for the Vernacular Algerian Arabic. Research in Computing Science, 110(April 2016), 55\u201370. Retrieved from http:\/\/rcs.cic.ipn.mx\/2016_110\/A","DOI":"10.13053\/rcs-110-1-5"},{"key":"IJTD.2020040105-20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-1307"},{"key":"IJTD.2020040105-21","doi-asserted-by":"crossref","unstructured":"Nabil, M., Alaa El-Dien, M., Atiya, A. (2015). ASTD\u202f: Arabic Sentiment Tweets Dataset.","DOI":"10.18653\/v1\/D15-1299"},{"key":"IJTD.2020040105-22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2018.04.012"},{"key":"IJTD.2020040105-23","unstructured":"Rosca, M., & Breuel, T. (2016). Sequence-to-sequence neural network models for transliteration."},{"key":"IJTD.2020040105-24","unstructured":"Shoukry, A., & Rafea, A. (2012). Preprocessing Egyptian Dialect Tweets for Sentiment Mining. In The Fourth Workshop on Computational (pp. 47\u201356). Academic Press."}],"container-title":["International Journal of Technology Diffusion"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=250203","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T20:11:29Z","timestamp":1651781489000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJTD.2020040105"}},"subtitle":["A Business Decision Support System Based on Multi-Language Sentiment Analysis of Algerian Operator Telephones"],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":25,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.4018\/ijtd.2020040105","relation":{},"ISSN":["1947-9301","1947-931X"],"issn-type":[{"type":"print","value":"1947-9301"},{"type":"electronic","value":"1947-931X"}],"subject":[],"published":{"date-parts":[[2020,4]]}}}