{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T16:31:30Z","timestamp":1747153890670,"version":"3.40.5"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cogn Comput"],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1007\/s12559-020-09771-z","type":"journal-article","created":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T07:03:13Z","timestamp":1609657393000},"page":"164-178","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Optimizing Sentiment Classification for Arabic Opinion Texts"],"prefix":"10.1007","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2953-0211","authenticated-orcid":false,"given":"Radwa M. K.","family":"Saeed","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4991-966X","authenticated-orcid":false,"given":"Sherine","family":"Rady","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0780-782X","authenticated-orcid":false,"given":"Tarek F.","family":"Gharib","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,3]]},"reference":[{"key":"9771_CR1","unstructured":"Wang Z, Ho SB, Cambria E. A review of emotion sensing: categorization models and algorithms. Multimed Tools Appl. 2020:1\u201330."},{"key":"9771_CR2","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1007\/s10844-019-00574-9","volume":"54","author":"A Konjengbam","year":"2020","unstructured":"Konjengbam A, Kumar N, Singh M. Unsupervised tag recommendation for popular and cold products. J Intell Inf Syst. 2020;54:545\u201366.","journal-title":"J Intell Inf Syst"},{"key":"9771_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/widm.1347","volume":"10","author":"NMK Saeed","year":"2020","unstructured":"Saeed NMK, Helal NA, Badr NL, Gharib TF. An enhanced feature-based sentiment analysis approach. Wiley Interdiscip Rev Data Min Knowl Discov. 2020;10:1\u201320.","journal-title":"Wiley Interdiscip Rev Data Min Knowl Discov"},{"key":"9771_CR4","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1109\/MIS.2016.31","volume":"31","author":"E Cambria","year":"2016","unstructured":"Cambria E. Affective computing and sentiment analysis. IEEE Intell Syst. 2016;31:102\u20137.","journal-title":"IEEE Intell Syst"},{"key":"9771_CR5","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1007\/s12559-017-9477-1","volume":"9","author":"QA Al-Radaideh","year":"2017","unstructured":"Al-Radaideh QA, Al-Qudah GY. Application of rough set-based feature selection for Arabic sentiment analysis. Cogn Comput. 2017;9:436\u201345.","journal-title":"Cogn Comput"},{"key":"9771_CR6","doi-asserted-by":"crossref","unstructured":"Tayyeh HK, Mahdi MS, AL-Jumaili ASA. Novel steganography scheme using Arabic text features in holy Quran. Int J Electr Comput Eng.\u00a02019;9:1910\u201318.","DOI":"10.11591\/ijece.v9i3.pp1910-1918"},{"key":"9771_CR7","doi-asserted-by":"crossref","unstructured":"Al-Saqqa S, Obeid N, Awajan A. Sentiment analysis for Arabic text using ensemble learning. In: Proc. IEEE\/ACS Int. Conf. Comput. Syst. Appl. AICCSA. IEEE, 2019, pp. 1\u20137.","DOI":"10.1109\/AICCSA.2018.8612804"},{"key":"9771_CR8","doi-asserted-by":"publisher","first-page":"13","DOI":"10.14257\/ijast.2018.119.02","volume":"119","author":"M Alrefai","year":"2018","unstructured":"Alrefai M, Faris H, Aljarah I. Sentiment analysis for Arabic language: a brief survey of approaches and techniques. Int J Adv Sci Technol. 2018;119:13\u201324.","journal-title":"Int J Adv Sci Technol"},{"key":"9771_CR9","doi-asserted-by":"publisher","unstructured":"Saeed RMK, Rady S, Gharib TF. An ensemble approach for spam detection in Arabic opinion texts. J King Saud Univ - Comput Inf Sci. 2019. https:\/\/doi.org\/10.1016\/j.jksuci.2019.10.002.","DOI":"10.1016\/j.jksuci.2019.10.002"},{"key":"9771_CR10","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.inffus.2017.12.006","volume":"44","author":"I Chaturvedi","year":"2018","unstructured":"Chaturvedi I, Cambria E, Welsch RE, Herrera F. Distinguishing between facts and opinions for sentiment analysis: survey and challenges. Inf Fusion. 2018;44:65\u201377.","journal-title":"Inf Fusion"},{"key":"9771_CR11","doi-asserted-by":"crossref","unstructured":"ElSahar H, El-Beltagy SR. Building large Arabic multi-domain resources for sentiment analysis. In: Int. Conf. Intell. Text Process. Comput. Linguist, 2015 pp. 23\u201334.","DOI":"10.1007\/978-3-319-18117-2_2"},{"key":"9771_CR12","first-page":"34","volume":"4","author":"A Yousefpour","year":"2014","unstructured":"Yousefpour A, Ibrahim R, Abdull Hamed HN. A novel feature reduction method in sentiment analysis. Int J Innov Comput. 2014;4:34\u201340.","journal-title":"Int J Innov Comput"},{"key":"9771_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.eswa.2018.05.023","volume":"109","author":"K Kim","year":"2018","unstructured":"Kim K. An improved semi-supervised dimensionality reduction using feature weighting: application to sentiment analysis. Expert Syst Appl. 2018;109:1\u201361.","journal-title":"Expert Syst Appl"},{"key":"9771_CR14","unstructured":"Ott M, Choi Y, Cardie C, Hancock JT. Finding deceptive opinion spam by any stretch of the imagination. In: Proc. 49th Annu. Meet. Assoc. Comput. Linguist. Hum. Lang. Technol, 2011 pp. 309\u2013319."},{"key":"9771_CR15","doi-asserted-by":"crossref","unstructured":"Elnagar A, Khalifa YS, Einea A. Hotel arabic-reviews dataset construction for sentiment analysis applications. In: Intell. Nat. Lang. Process. Trends Appl. Berlin: Springer; 2018. pp. 35\u201352.","DOI":"10.1007\/978-3-319-67056-0_3"},{"key":"9771_CR16","unstructured":"Shoukry A, Rafea A. Preprocessing Egyptian dialect tweets for sentiment mining. In: AMTA-2012 fourth work. Comput. Approaches to Arab. Script-based Lang. San Diego, USA; 2012. pp. 47\u201356."},{"key":"9771_CR17","volume-title":"Arabic sentence level sentiment analysis","author":"AM Shoukry","year":"2013","unstructured":"Shoukry AM, Rafea A. Arabic sentence level sentiment analysis. New Cairo: The American University in Cairo (AUC); 2013."},{"key":"9771_CR18","doi-asserted-by":"publisher","first-page":"1662","DOI":"10.1016\/j.neucom.2017.10.010","volume":"275","author":"A Hussain","year":"2018","unstructured":"Hussain A, Cambria E. Semi-supervised learning for big social data analysis. Neurocomputing. 2018;275:1662\u201373.","journal-title":"Neurocomputing"},{"key":"9771_CR19","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1109\/MCI.2019.2954667","volume":"15","author":"MS Akhtar","year":"2020","unstructured":"Akhtar MS, Ekbal A, Cambria E. How intense are you? Predicting intensities of emotions and sentiments using stacked ensemble. IEEE Comput Intell Mag. 2020;15:64\u201375.","journal-title":"IEEE Comput Intell Mag"},{"key":"9771_CR20","doi-asserted-by":"crossref","unstructured":"Ma Y, Peng H, Cambria E. Targeted aspect-based sentiment analysis via embedding commonsense knowledge into an attentive LSTM. In Thirty-second AAAI Conf Artif Intell; 2018. pp. 5876\u20135883.","DOI":"10.1609\/aaai.v32i1.12048"},{"key":"9771_CR21","doi-asserted-by":"crossref","unstructured":"Oueslati O, Cambria E, HajHmida M Ben, Ounelli H. A review of sentiment analysis research in Arabic language. Futur Gener Comput Syst.\u00a02020;112:408\u201330.","DOI":"10.1016\/j.future.2020.05.034"},{"key":"9771_CR22","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1504\/IJBDI.2014.063845","volume":"1","author":"NA Abdulla","year":"2014","unstructured":"Abdulla NA, Al-Ayyoub M, Al-Kabi MN. An extended analytical study of Arabic sentiments. Int J Big Data Intell. 2014;1:103\u201313.","journal-title":"Int J Big Data Intell"},{"key":"9771_CR23","doi-asserted-by":"publisher","first-page":"1067","DOI":"10.18517\/ijaseit.6.6.1456","volume":"6","author":"MM Altawaier","year":"2016","unstructured":"Altawaier MM, Tiun S. Comparison of machine learning approaches on Arabic twitter sentiment analysis. Int J Adv Sci Eng Inf Technol. 2016;6:1067\u201373.","journal-title":"Int J Adv Sci Eng Inf Technol"},{"key":"9771_CR24","doi-asserted-by":"crossref","unstructured":"Elhadad MK, Li KF, Gebali F. Sentiment analysis of Arabic and English tweets. In: WAINA 2019Web, Artif. Intell. Netw. Appl; 2019. pp. 334\u2013348.","DOI":"10.1007\/978-3-030-15035-8_32"},{"key":"9771_CR25","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1177\/0165551514534143","volume":"40","author":"R Duwairi","year":"2014","unstructured":"Duwairi R, El-Orfali M. A study of the effects of preprocessing strategies on sentiment analysis for Arabic text. J Inf Sci. 2014;40:501\u201313.","journal-title":"J Inf Sci"},{"key":"9771_CR26","doi-asserted-by":"crossref","unstructured":"Alnemer L, Alammouri B, Alsakran J, EL Ariss O. Enhanced classification of sentiment analysis of Arabic reviews. In: EIDWT 2019 Adv. Internet, Data Web Technol. LNDECT; 2019. pp. 210\u2013220.","DOI":"10.1007\/978-3-030-12839-5_20"},{"key":"9771_CR27","doi-asserted-by":"publisher","first-page":"107","DOI":"10.3233\/IFS-151574","volume":"29","author":"RM Duwairi","year":"2015","unstructured":"Duwairi RM, Ahmed NA, Al-Rifai SY. Detecting sentiment embedded in Arabic social media - a lexicon-based approach. J Intell Fuzzy Syst. 2015;29:107\u201317.","journal-title":"J Intell Fuzzy Syst"},{"key":"9771_CR28","doi-asserted-by":"publisher","first-page":"2163","DOI":"10.1007\/s13042-018-0799-4","volume":"10","author":"M Al-Smadi","year":"2019","unstructured":"Al-Smadi M, Talafha B, Al-Ayyoub M, Jararweh Y. Using long short-term memory deep neural networks for aspect-based sentiment analysis of Arabic reviews. Int J Mach Learn Cybern. 2019;10:2163\u201375.","journal-title":"Int J Mach Learn Cybern"},{"key":"9771_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2019\/2537689","volume":"2019","author":"A Dahou","year":"2019","unstructured":"Dahou A, Elaziz MA, Zhou J, Xiong S. Arabic sentiment classification using convolutional neural network and differential evolution algorithm. Comput Intell Neurosci. 2019;2019:1\u201316. https:\/\/doi.org\/10.1155\/2019\/2537689.","journal-title":"Comput Intell Neurosci"},{"key":"9771_CR30","first-page":"2165","volume":"2","author":"G Vinodhini","year":"2013","unstructured":"Vinodhini G, Chandrasekaran RM. Effect of feature reduction in sentiment analysis of online reviews. Int J Adv Res Comput Eng Technol. 2013;2:2165\u201372.","journal-title":"Int J Adv Res Comput Eng Technol"},{"key":"9771_CR31","first-page":"2791","volume":"8","author":"H Kaur","year":"2019","unstructured":"Kaur H, Kaur P. Dimensionality reduction in sentiment analysis using colony\u2013support vector machine. Int J Innov Technol Explor Eng. 2019;8:2791\u20137.","journal-title":"Int J Innov Technol Explor Eng"},{"key":"9771_CR32","first-page":"1","volume":"14","author":"C-H Cheng","year":"2019","unstructured":"Cheng C-H, Chen H-H. Sentimental text mining based on an additional features method for text classification. PLoS One. 2019;14:1\u201317.","journal-title":"PLoS One"},{"key":"9771_CR33","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1037\/h0071325","volume":"24","author":"H Hotelling","year":"1933","unstructured":"Hotelling H. Analysis of a complex of statistical variables into principal components. J Educ Psychol. 1933;24:417\u201341.","journal-title":"J Educ Psychol"},{"key":"9771_CR34","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei DM, Ng AY, Jordan MI. Latent Dirichlet allocation. J Mach Learn Res. 2003;3:993\u20131022.","journal-title":"J Mach Learn Res"},{"key":"9771_CR35","first-page":"37","volume":"2","author":"DMW Powers","year":"2011","unstructured":"Powers DMW. Evaluation: from precision, recall and F-measure to Roc, informedness, markedness & correlation. J Mach Learn Technol. 2011;2:37\u201363.","journal-title":"J Mach Learn Technol"}],"container-title":["Cognitive Computation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-020-09771-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12559-020-09771-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-020-09771-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,10]],"date-time":"2022-12-10T08:23:11Z","timestamp":1670660591000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12559-020-09771-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":35,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["9771"],"URL":"https:\/\/doi.org\/10.1007\/s12559-020-09771-z","relation":{},"ISSN":["1866-9956","1866-9964"],"issn-type":[{"type":"print","value":"1866-9956"},{"type":"electronic","value":"1866-9964"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"3 March 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 September 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with Ethical Standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed Consent"}},{"value":"This article does not contain any studies with human participants or animals, performed by any of the authors.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}}]}}