{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T13:02:22Z","timestamp":1772110942489,"version":"3.50.1"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T00:00:00Z","timestamp":1733961600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T00:00:00Z","timestamp":1733961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"The authors declare that they have no competing interests","award":["The authors declare that they have no competing interests"],"award-info":[{"award-number":["The authors declare that they have no competing interests"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s00521-024-10808-9","type":"journal-article","created":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T15:56:45Z","timestamp":1734019005000},"page":"1889-1904","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Computational intelligence approach to automated sentiment analysis of Arabic tweets"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7554-2857","authenticated-orcid":false,"given":"Nabil M.","family":"Eldakhly","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahmoud A.","family":"Zaher","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yahia B.","family":"Hassan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,12]]},"reference":[{"key":"10808_CR1","unstructured":"Twitter global mDAU. Statistia, (2022). https:\/\/www.statista.com\/statistics\/970920\/monetizable-daily-activetwitter-users-worldwide\/"},{"key":"10808_CR2","doi-asserted-by":"publisher","unstructured":"Layba, A.M., Palade, V., England, M., et al.: Arabic language sentiment analysis on health services. In: 2017 1st International Workshop on Arabic Script Analysis and Recognition, Nancy, France, pp. 114\u2013118 (2017) https:\/\/doi.org\/10.1109\/ASAR.2017.8067771","DOI":"10.1109\/ASAR.2017.8067771"},{"key":"10808_CR3","unstructured":"World Arabic Language Day 2020. UNESCO, (2023). https:\/\/www.unesco.org\/en\/articles\/worldarabic-language-day-2020-focus-arabic-language-academies"},{"issue":"4","key":"10808_CR4","doi-asserted-by":"publisher","first-page":"2479","DOI":"10.1016\/j.asej.2017.04.007","volume":"9","author":"N Boudad","year":"2018","unstructured":"Boudad N, Faizi R, Thami OHR et al (2018) Sentiment analysis in Arabic: A review of the literature. Ain Shams Engineering Journal 9(4):2479\u20132490. https:\/\/doi.org\/10.1016\/j.asej.2017.04.007","journal-title":"Ain Shams Engineering Journal"},{"key":"#cr-split#-10808_CR5.1","doi-asserted-by":"crossref","unstructured":"Tiwari, S., Trivedi, M.C., Kolhe, M.L., et al.: Advances in Data and Information Sciences. In: Proceedings of ICDIS, (2021)","DOI":"10.1007\/978-981-16-5689-7"},{"key":"#cr-split#-10808_CR5.2","unstructured":"Springer Nature Singapore Pte Ltd.: Singapore, (2022). ISBN 978-981-16-5688-0"},{"key":"10808_CR6","doi-asserted-by":"crossref","unstructured":"AlOtaibi, S., Khan, M.B.: Sentiment analysis challenges of informal Arabic language. Int J Adv Comput Sci Appl 8, (2017)","DOI":"10.14569\/IJACSA.2017.080237"},{"key":"10808_CR7","doi-asserted-by":"crossref","unstructured":"Grawal, S., Awekar, A.: Deep learning for detecting cyberbullying across multiple social media platforms. In: Proceedings of the European Conference on Information Retrieval, Grenoble, France, pp. 26\u201329, Springer International Publishing: Cham, Switzerland, pp. 141\u2013153 (2018)","DOI":"10.1007\/978-3-319-76941-7_11"},{"key":"10808_CR8","doi-asserted-by":"crossref","unstructured":"Benkhelifa, R., Laallam, F.Z.: Opinion extraction and classification of real-time youtube cooking recipes comments. In: 2018 Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, Cairo, Egypt, pp. 22\u201324 (2018), Springer International Publishing: Cham, Switzerland, pp. 395\u2013404.","DOI":"10.1007\/978-3-319-74690-6_39"},{"key":"10808_CR9","doi-asserted-by":"crossref","unstructured":"Murthy, G.S.N., Allu, S.R., Andhavarapu, B., et al.: Text based Sentiment Analysis using LSTM. Int\u00a0J\u00a0Eng\u00a0Res 9, (2020)","DOI":"10.17577\/IJERTV9IS050290"},{"key":"10808_CR10","doi-asserted-by":"crossref","unstructured":"Geetha, R., Padmavathy, T., Anitha, R.: Prediction of the academic performance of slow learners using efficient machine learning algorithm. J\u00a0Adv\u00a0Comput\u00a0Intell 1(5), (2021)","DOI":"10.1007\/s43674-021-00005-9"},{"key":"10808_CR11","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1111\/coin.12415","volume":"37","author":"M Umer","year":"2021","unstructured":"Umer M, Ashraf I, Mehmood A et al (2021) Sentiment analysis of tweets using a unified convolutional neural network-long short-term memory network model. Comput Intell 37:409\u2013434","journal-title":"Comput Intell"},{"key":"10808_CR12","doi-asserted-by":"publisher","first-page":"7605125","DOI":"10.1155\/2022\/7605125","volume":"2022","author":"L Rao","year":"2022","unstructured":"Rao L (2022) Sentiment Analysis of English Text with Multilevel Features. Sci Program 2022:7605125. https:\/\/doi.org\/10.1155\/2022\/7605125","journal-title":"Sci Program"},{"key":"10808_CR13","doi-asserted-by":"publisher","unstructured":"Samsir, S., Kusmanto, K., Dalimunthe, A.H., et al.: Implementation Na\u00efve Bayes Classification for Sentiment Analysis on Internet Movie Database. Building of Informatics, Technology, and Science (BITS), 4(1), 1\u20136 (2022). https:\/\/doi.org\/10.47065\/bits.v4i1.1468","DOI":"10.47065\/bits.v4i1.1468"},{"issue":"3","key":"10808_CR14","doi-asserted-by":"publisher","first-page":"4675","DOI":"10.32604\/cmc.2022.027311","volume":"72","author":"M Hadwan","year":"2022","unstructured":"Hadwan M, Al-Hagery M, Al-Sarem M et al (2022) Arabic Sentiment Analysis of Users\u2019 Opinions of Governmental Mobile Applications. Comput Mater Contin 72(3):4675\u20134689. https:\/\/doi.org\/10.32604\/cmc.2022.027311","journal-title":"Comput Mater Contin"},{"key":"10808_CR15","doi-asserted-by":"crossref","unstructured":"Al-Tamimi, A.K., Shatnawi, A., Bani-Issa, E.: Arabic sentiment analysis of YouTube comments. In: Proceedings of the 2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, Aqaba, Jordan, pp. 1\u20136 (2017). IEEE","DOI":"10.1109\/AEECT.2017.8257766"},{"key":"10808_CR16","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1016\/j.procs.2018.10.491","volume":"142","author":"A Alakrot","year":"2018","unstructured":"Alakrot A, Murray L, Nikolov NS (2018) Towards Accurate Detection of Offensive Language in Online Communication in Arabic. Procedia Comput Sci 142:315\u2013320","journal-title":"Procedia Comput Sci"},{"key":"10808_CR17","doi-asserted-by":"crossref","unstructured":"Mohaouchane, H., Mourhir, A., Nikolov, N.S.: Detecting Offensive Language on Arabic Social Media Using Deep Learning. In: Proceedings of the 2019 6th International Conference on Social Networks Analysis, Management and Security, Granada, Spain, pp. 466\u2013471(2019)","DOI":"10.1109\/SNAMS.2019.8931839"},{"key":"10808_CR18","doi-asserted-by":"crossref","unstructured":"Mohammed, A., Kora, R.: Deep learning approaches for Arabic sentiment analysis. Soc Netw Anal Min\u00a09(52), (2019)","DOI":"10.1007\/s13278-019-0596-4"},{"key":"10808_CR19","doi-asserted-by":"crossref","unstructured":"Ombabi, A.H., Ouarda, W., Alimi, A.M.: Deep learning CNN\u2013LSTM framework for Arabic sentiment analysis using textual information shared in social networks. Soc Netw Anal Min 10(53), (2020)","DOI":"10.1007\/s13278-020-00668-1"},{"key":"10808_CR20","doi-asserted-by":"crossref","unstructured":"Khabour, S.M., Al-Radaideh, Q.A., Mustafa, D.: A new ontology-based method for Arabic sentiment analysis. Big Data Cogn Comput 6(48), (2022)","DOI":"10.3390\/bdcc6020048"},{"issue":"5","key":"10808_CR21","doi-asserted-by":"publisher","first-page":"1736","DOI":"10.1016\/j.ipm.2019.05.008","volume":"56","author":"AM Azmi","year":"2019","unstructured":"Azmi AM, Al-Jouie MF, Hussain M (2019) AAEE-Automated evaluation of students\u2019 essays in Arabic language. Inf Process Manag 56(5):1736\u20131752. https:\/\/doi.org\/10.1016\/j.ipm.2019.05.008","journal-title":"Inf Process Manag"},{"key":"10808_CR22","doi-asserted-by":"publisher","unstructured":"Gupta, H, Patel, M.: Method of Text Summarization Using Lsa and Sentence Based Topic Modelling with Bert. In: International Conference on Artificial Intelligence and Smart Systems (ICAIS), pp. 511\u2013 517 (2021). https:\/\/doi.org\/10.1109\/ICAIS50930.2021.9395976","DOI":"10.1109\/ICAIS50930.2021.9395976"},{"key":"10808_CR23","doi-asserted-by":"publisher","unstructured":"Mahyoob, M., Algaraady, J., Alrahiali, M., et al.: Sentiment Analysis of Public Tweets Towards the Emergence of SARS-CoV-2 Omicron Variant: A Social Media Analytics Framework. Eng Technol Appl Sci Res 12(3), 8525\u20138531 (2022). https:\/\/doi.org\/10.48084\/etasr.4865","DOI":"10.48084\/etasr.4865"},{"key":"10808_CR24","doi-asserted-by":"publisher","unstructured":"Yafooz, W.M.S., Hizam, E.A., Alromema, W.A.: Arabic Sentiment Analysis on Chewing Khat Leaves using Machine Learning and Ensemble Methods. Eng Technol Appl Sci Res 11(2), 6845\u20136848 (2021). https:\/\/doi.org\/10.48084\/etasr.4026","DOI":"10.48084\/etasr.4026"},{"issue":"1","key":"10808_CR25","doi-asserted-by":"publisher","first-page":"16","DOI":"10.3390\/bdcc7010016","volume":"7","author":"A Alqarni","year":"2023","unstructured":"Alqarni A, Rahman A (2023) Arabic Tweets-Based Sentiment Analysis to Investigate the Impact of COVID-19 in KSA: A Deep Learning Approach. Big Data Cogn Comput 7(1):16. https:\/\/doi.org\/10.3390\/bdcc7010016","journal-title":"Big Data Cogn Comput"},{"key":"10808_CR26","doi-asserted-by":"crossref","unstructured":"Zhang, W., Deng, Y., Liu, B., et al.: Sentiment Analysis in the Era of Large Language Models: A Reality Check. Findings of the Association for Computational Linguistics: NAACL 3881\u20133906 (2024). https:\/\/aclanthology.org\/2024.findings-naacl.246.pdf","DOI":"10.18653\/v1\/2024.findings-naacl.246"},{"key":"10808_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.nlp.2024.100059","volume":"6","author":"JR Jim","year":"2024","unstructured":"Jim JR, Talukder MAR, Malakar P et al (2024) Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review. Natural Language Processing Journal 6:100059. https:\/\/doi.org\/10.1016\/j.nlp.2024.100059","journal-title":"Natural Language Processing Journal"},{"key":"10808_CR28","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-024-10331-y","author":"X Chen","year":"2024","unstructured":"Chen X, Xie H, Qin SJ et al (2024) Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis. Cogn Comput. https:\/\/doi.org\/10.1007\/s12559-024-10331-y","journal-title":"Cogn Comput"},{"key":"10808_CR29","doi-asserted-by":"publisher","unstructured":"Rajan, K. V.: Sentiment Analysis of Social Media Using Artificial Intelligence. In: Advances in Sentiment Analysis - Techniques, Applications, and Challenges (ed.) (2024). https:\/\/doi.org\/10.5772\/intechopen.113092","DOI":"10.5772\/intechopen.113092"},{"key":"10808_CR30","unstructured":"Goodfellow, I., Bengio, Y., Courville, A. (2016). Deep Learning. MIT Press. Available at: https:\/\/www.deeplearningbook.org"},{"issue":"5","key":"10808_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2023.103449","volume":"60","author":"SM Sherif","year":"2023","unstructured":"Sherif SM, Alamoodi AH, Albahri OS et al (2023) Lexicon annotation in sentiment analysis for dialectal Arabic: Systematic review of current trends and future directions. Inf Process Manage 60(5):103449. https:\/\/doi.org\/10.1016\/j.ipm.2023.103449","journal-title":"Inf Process Manage"},{"key":"10808_CR32","unstructured":"Aljamel, Y. A., Turhan C., Topalli, D.: A Systematic Mapping Study of Emotion Analysis in Arabic Language. Journal of Academic Research (Applied Sciences) 27, (2023). https:\/\/lam-journal.ly\/index.php\/jar\/article\/view\/499"},{"key":"10808_CR33","doi-asserted-by":"publisher","unstructured":"Tibi, N., Ben Messaoud, M.A.: Automatic Arabic Dialect Identification Using Deep Learning. In:\u00a02022 IEEE Information Technologies & Smart Industrial Systems (ITSIS), Paris, France, pp. 1\u20135, (2022). https:\/\/doi.org\/10.1109\/ITSIS56166.2022.10118410","DOI":"10.1109\/ITSIS56166.2022.10118410"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-10808-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-024-10808-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-10808-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,5]],"date-time":"2025-02-05T22:00:46Z","timestamp":1738792846000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-024-10808-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,12]]},"references-count":34,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["10808"],"URL":"https:\/\/doi.org\/10.1007\/s00521-024-10808-9","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,12]]},"assertion":[{"value":"6 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 November 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 December 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Authors declare that this submission follows the policies as outlined in the Guide for Authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Participate"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Publish"}}]}}