{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T07:23:47Z","timestamp":1771917827260,"version":"3.50.1"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T00:00:00Z","timestamp":1695600000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T00:00:00Z","timestamp":1695600000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soc. Netw. Anal. Min."],"DOI":"10.1007\/s13278-023-01119-3","type":"journal-article","created":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T07:02:05Z","timestamp":1695625325000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Public sentiment toward renewable energy in Morocco: opinion mining using a rule-based approach"],"prefix":"10.1007","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8811-6539","authenticated-orcid":false,"given":"Mohammed","family":"Kasri","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anas","family":"El-Ansari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"El Fissaoui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1396-2973","authenticated-orcid":false,"given":"Badreddine","family":"Cherkaoui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marouane","family":"Birjali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abderrahim","family":"Beni-Hssane","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,25]]},"reference":[{"key":"1119_CR1","doi-asserted-by":"publisher","first-page":"109781","DOI":"10.1016\/j.rser.2020.109781","volume":"124","author":"M Abdar","year":"2020","unstructured":"Abdar M et al (2020) Energy choices in Alaska: mining people\u2019s perception and attitudes from geotagged tweets. Renew Sustain Energy Rev 124:109781. https:\/\/doi.org\/10.1016\/j.rser.2020.109781","journal-title":"Renew Sustain Energy Rev"},{"key":"1119_CR2","doi-asserted-by":"publisher","unstructured":"Abdelali A, Darwish K, Durrani N, Mubarak H (2016) Farasa: a fast and furious segmenter for Arabic. In Proceedings of the 2016 conference of the north American chapter of the association for computational linguistics: demonstrations, Stroudsburg, PA, USA: Association for Computational Linguistics, pp. 11\u201316. https:\/\/doi.org\/10.18653\/v1\/N16-3003","DOI":"10.18653\/v1\/N16-3003"},{"issue":"4\u20136","key":"1119_CR3","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/0160-4120(79)90004-7","volume":"2","author":"W Bach","year":"1979","unstructured":"Bach W (1979) Impact of increasing atmospheric CO2 concentrations on global climate: potential consequences and corrective measures. Environ Int 2(4\u20136):215\u2013228. https:\/\/doi.org\/10.1016\/0160-4120(79)90004-7","journal-title":"Environ Int"},{"key":"1119_CR4","doi-asserted-by":"publisher","unstructured":"Benali L (2019) Electricity-sector Reforms in the MENA Region. In: Perspectives on development in the middle east and north Africa (MENA) Region. Springer International Publishing, Cham. https:\/\/doi.org\/10.1007\/978-3-319-96268-9","DOI":"10.1007\/978-3-319-96268-9"},{"issue":"1","key":"1119_CR5","doi-asserted-by":"publisher","first-page":"31","DOI":"10.3390\/jmse9010031","volume":"9","author":"A Benazzouz","year":"2020","unstructured":"Benazzouz A, Mabchour H, El Had K, Zourarah B, Mordane S (2020) Offshore wind energy resource in the Kingdom of Morocco: assessment of the seasonal potential variability based on satellite data. J Mar Sci Eng 9(1):31. https:\/\/doi.org\/10.3390\/jmse9010031","journal-title":"J Mar Sci Eng"},{"key":"1119_CR6","doi-asserted-by":"publisher","first-page":"107134","DOI":"10.1016\/j.knosys.2021.107134","volume":"226","author":"M Birjali","year":"2021","unstructured":"Birjali M, Kasri M, Beni-Hssane A (2021) A comprehensive survey on sentiment analysis: approaches, challenges and trends. Knowl Based Syst 226:107134. https:\/\/doi.org\/10.1016\/j.knosys.2021.107134","journal-title":"Knowl Based Syst"},{"issue":"2","key":"1119_CR7","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1007\/s11804-018-00060-8","volume":"18","author":"H Bouhrim","year":"2019","unstructured":"Bouhrim H, El Marjani A (2019) Wave energy assessment along the Moroccan Atlantic coast. J Mar Sci Appl 18(2):142\u2013152. https:\/\/doi.org\/10.1007\/s11804-018-00060-8","journal-title":"J Mar Sci Appl"},{"key":"1119_CR8","doi-asserted-by":"publisher","unstructured":"Chai CP (2022) Comparison of text preprocessing methods. Nat Lang Eng, 1\u201345. https:\/\/doi.org\/10.1017\/S1351324922000213.","DOI":"10.1017\/S1351324922000213"},{"issue":"22","key":"1119_CR9","doi-asserted-by":"publisher","first-page":"9571","DOI":"10.3390\/su12229571","volume":"12","author":"N-H Chen","year":"2020","unstructured":"Chen N-H (2020) Exploring the cognitive and emotional impact of online climate change videos on viewers. Sustainability 12(22):9571. https:\/\/doi.org\/10.3390\/su12229571","journal-title":"Sustainability"},{"issue":"4","key":"1119_CR10","doi-asserted-by":"publisher","first-page":"2277","DOI":"10.1007\/s10311-022-01435-8","volume":"20","author":"L Chen","year":"2022","unstructured":"Chen L et al (2022) Strategies to achieve a carbon neutral society: a review. Environ Chem Lett 20(4):2277\u20132310. https:\/\/doi.org\/10.1007\/s10311-022-01435-8","journal-title":"Environ Chem Lett"},{"key":"1119_CR11","doi-asserted-by":"publisher","unstructured":"Chen Y, Yao J (2021) Sentiment analysis using part-of-speech-based feature extraction and game-theoretic rough sets. In 2021 International conference on data mining workshops (ICDMW), IEEE. pp 110\u2013117. https:\/\/doi.org\/10.1109\/ICDMW53433.2021.00020","DOI":"10.1109\/ICDMW53433.2021.00020"},{"key":"1119_CR12","doi-asserted-by":"publisher","first-page":"112758","DOI":"10.1016\/j.enpol.2021.112758","volume":"161","author":"KC Corr\u00eaa","year":"2022","unstructured":"Corr\u00eaa KC, Uriona-Maldonado M, Vaz CR (2022) The evolution, consolidation and future challenges of wind energy in Uruguay. Energy Policy 161:112758. https:\/\/doi.org\/10.1016\/j.enpol.2021.112758","journal-title":"Energy Policy"},{"issue":"6","key":"1119_CR13","doi-asserted-by":"publisher","first-page":"e01830","DOI":"10.1016\/j.heliyon.2019.e01830","volume":"5","author":"Y el Khchine","year":"2019","unstructured":"el Khchine Y, Sriti M, el Kadri Elyamani NE (2019) Evaluation of wind energy potential and trends in Morocco. Heliyon 5(6):e01830. https:\/\/doi.org\/10.1016\/j.heliyon.2019.e01830","journal-title":"Heliyon"},{"key":"1119_CR14","unstructured":"Eshchanov B, Grinwis Plaat Stultjes M, Eshchanov R, Komilovich S (2011) People\u2019s perceptions on renewable energy sources penetration prospects in the Khorezm Province, Uzbekistan. J Knowl Manag Econ Inf Technol, 1"},{"key":"1119_CR15","doi-asserted-by":"publisher","unstructured":"Fagbola TM, Abayomi A, Mutanga MB, Jugoo V (2022) Lexicon-based sentiment analysis and emotion classification of climate change related tweets. pp 637\u2013646. https:\/\/doi.org\/10.1007\/978-3-030-96302-6_60.","DOI":"10.1007\/978-3-030-96302-6_60"},{"key":"1119_CR16","doi-asserted-by":"publisher","first-page":"797478","DOI":"10.3389\/fenrg.2021.797478","volume":"9","author":"B Fan","year":"2021","unstructured":"Fan B, Wu T, Zhuang Y, Peng J, Huang K (2021) The development of energy storage in China: policy evolution and public attitude. Front Energy Res 9:797478. https:\/\/doi.org\/10.3389\/fenrg.2021.797478","journal-title":"Front Energy Res"},{"key":"1119_CR17","doi-asserted-by":"publisher","unstructured":"Fersini E (2017) Sentiment analysis in social networks. In Sentiment analysis in social networks, Elsevier, 2017, pp 91\u2013111. https:\/\/doi.org\/10.1016\/B978-0-12-804412-4.00006-1.","DOI":"10.1016\/B978-0-12-804412-4.00006-1"},{"key":"1119_CR18","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.esr.2019.01.006","volume":"24","author":"D Gielen","year":"2019","unstructured":"Gielen D, Boshell F, Saygin D, Bazilian MD, Wagner N, Gorini R (2019) The role of renewable energy in the global energy transformation. Energy Strat Rev 24:38\u201350. https:\/\/doi.org\/10.1016\/j.esr.2019.01.006","journal-title":"Energy Strat Rev"},{"issue":"8","key":"1119_CR19","doi-asserted-by":"publisher","first-page":"3242","DOI":"10.1016\/j.enpol.2009.04.020","volume":"37","author":"M Greenberg","year":"2009","unstructured":"Greenberg M (2009) Energy sources, public policy, and public preferences: analysis of US national and site-specific data. Energy Policy 37(8):3242\u20133249. https:\/\/doi.org\/10.1016\/j.enpol.2009.04.020","journal-title":"Energy Policy"},{"issue":"4","key":"1119_CR20","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1007\/s13753-015-0068-z","volume":"6","author":"B Hagen","year":"2015","unstructured":"Hagen B, Pijawka D (2015) Public perceptions and support of renewable energy in North America in the context of global climate change. Int J Disaster Risk Sci 6(4):385\u2013398. https:\/\/doi.org\/10.1007\/s13753-015-0068-z","journal-title":"Int J Disaster Risk Sci"},{"issue":"4","key":"1119_CR21","doi-asserted-by":"publisher","first-page":"2811","DOI":"10.11591\/ijece.v11i4.pp2811-2819","volume":"11","author":"T Haidi","year":"2021","unstructured":"Haidi T, Cheddadi B, El Mariami F, El Idrissi Z, Tarrak A (2021) Wind energy development in Morocco: evolution and impacts. Int J Electr Comput Eng (IJECE) 11(4):2811. https:\/\/doi.org\/10.11591\/ijece.v11i4.pp2811-2819","journal-title":"Int J Electr Comput Eng (IJECE)"},{"key":"1119_CR22","doi-asserted-by":"publisher","unstructured":"Hauthal E, Burghardt D, Fish C, Griffin AL (2020) Sentiment Analysis. In international encyclopedia of human geography, Elsevier, pp 169\u2013177. https:\/\/doi.org\/10.1016\/B978-0-08-102295-5.10593-1.","DOI":"10.1016\/B978-0-08-102295-5.10593-1"},{"issue":"1","key":"1119_CR23","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1016\/j.rser.2011.08.018","volume":"16","author":"NMA Huijts","year":"2012","unstructured":"Huijts NMA, Molin EJE, Steg L (2012) Psychological factors influencing sustainable energy technology acceptance: a review-based comprehensive framework. Renew Sustain Energy Rev 16(1):525\u2013531. https:\/\/doi.org\/10.1016\/j.rser.2011.08.018","journal-title":"Renew Sustain Energy Rev"},{"key":"1119_CR24","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 (2018) Semi-supervised learning for big social data analysis. Neurocomputing 275:1662\u20131673. https:\/\/doi.org\/10.1016\/j.neucom.2017.10.010","journal-title":"Neurocomputing"},{"issue":"14","key":"1119_CR25","doi-asserted-by":"publisher","first-page":"2532","DOI":"10.3390\/math10142532","volume":"10","author":"R Ibar-Alonso","year":"2022","unstructured":"Ibar-Alonso R, Quiroga-Garc\u00eda R, Arenas-Parra M (2022) Opinion mining of green energy sentiment: a Russia-Ukraine conflict analysis. Mathematics 10(14):2532. https:\/\/doi.org\/10.3390\/math10142532","journal-title":"Mathematics"},{"key":"1119_CR26","doi-asserted-by":"publisher","first-page":"103204","DOI":"10.1016\/j.ijdrr.2022.103204","volume":"80","author":"S Jabalameli","year":"2022","unstructured":"Jabalameli S, Xu Y, Shetty S (2022) Spatial and sentiment analysis of public opinion toward COVID-19 pandemic using twitter data: at the early stage of vaccination. Int J Dis Risk Reduct 80:103204. https:\/\/doi.org\/10.1016\/j.ijdrr.2022.103204","journal-title":"Int J Dis Risk Reduct"},{"issue":"2","key":"1119_CR27","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1080\/02522667.2019.1582873","volume":"40","author":"A Jain","year":"2019","unstructured":"Jain A, Jain V (2019) Sentiment classification of twitter data belonging to renewable energy using machine learning. J Inf Optim Sci 40(2):521\u2013533. https:\/\/doi.org\/10.1080\/02522667.2019.1582873","journal-title":"J Inf Optim Sci"},{"key":"1119_CR28","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1016\/j.proeng.2017.01.223","volume":"174","author":"Y Jin","year":"2017","unstructured":"Jin Y (2017) Development of word cloud generator software based on Python. Procedia Eng 174:788\u2013792. https:\/\/doi.org\/10.1016\/j.proeng.2017.01.223","journal-title":"Procedia Eng"},{"issue":"12","key":"1119_CR29","doi-asserted-by":"publisher","first-page":"4445","DOI":"10.1007\/s10115-020-01497-6","volume":"62","author":"M Kaity","year":"2020","unstructured":"Kaity M, Balakrishnan V (2020) Sentiment lexicons and non-English languages: a survey. Knowl Inf Syst 62(12):4445\u20134480. https:\/\/doi.org\/10.1007\/s10115-020-01497-6","journal-title":"Knowl Inf Syst"},{"key":"1119_CR30","doi-asserted-by":"publisher","unstructured":"Kasri M, Birjali M, Beni-Hssane A (2019) A comparison of features extraction methods for Arabic sentiment analysis. In Proceedings of the 4th International Conference on Big Data and Internet of Things, New York, NY, USA: ACM, pp 1\u20136. https:\/\/doi.org\/10.1145\/3372938.3372998.","DOI":"10.1145\/3372938.3372998"},{"issue":"5","key":"1119_CR31","doi-asserted-by":"publisher","first-page":"2673","DOI":"10.3390\/su13052673","volume":"13","author":"SY Kim","year":"2021","unstructured":"Kim SY, Ganesan K, Dickens P, Panda S (2021) Public sentiment toward solar energy\u2014opinion mining of twitter using a transformer-based language model. Sustainability 13(5):2673. https:\/\/doi.org\/10.3390\/su13052673","journal-title":"Sustainability"},{"key":"1119_CR32","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.rser.2015.02.056","volume":"47","author":"T Kousksou","year":"2015","unstructured":"Kousksou T et al (2015) Renewable energy potential and national policy directions for sustainable development in Morocco. Renew Sustain Energy Rev 47:46\u201357. https:\/\/doi.org\/10.1016\/j.rser.2015.02.056","journal-title":"Renew Sustain Energy Rev"},{"issue":"1","key":"1119_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2200\/S00416ED1V01Y201204HLT016","volume":"5","author":"B Liu","year":"2012","unstructured":"Liu B (2012) Sentiment analysis and opinion mining. Synth Lect Hum Lang Technol 5(1):1\u2013167. https:\/\/doi.org\/10.2200\/S00416ED1V01Y201204HLT016","journal-title":"Synth Lect Hum Lang Technol"},{"key":"1119_CR34","doi-asserted-by":"publisher","first-page":"111490","DOI":"10.1016\/j.enpol.2020.111490","volume":"143","author":"ML Loureiro","year":"2020","unstructured":"Loureiro ML, All\u00f3 M (2020) Sensing climate change and energy issues: sentiment and emotion analysis with social media in the U.K. and Spain. Energy Policy 143:111490. https:\/\/doi.org\/10.1016\/j.enpol.2020.111490","journal-title":"Energy Policy"},{"key":"1119_CR35","doi-asserted-by":"publisher","first-page":"126293","DOI":"10.1016\/j.jclepro.2021.126293","volume":"295","author":"AA Mana","year":"2021","unstructured":"Mana AA, Allouhi A, Ouazzani K, Jamil A (2021) Feasibility of agriculture biomass power generation in Morocco: Techno-economic analysis. J Clean Prod 295:126293. https:\/\/doi.org\/10.1016\/j.jclepro.2021.126293","journal-title":"J Clean Prod"},{"issue":"1","key":"1119_CR36","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1007\/s11804-022-00261-2","volume":"21","author":"L Mouakkir","year":"2022","unstructured":"Mouakkir L, El Hou M, Mordane S, Chagdali M (2022) Wave energy potential analysis in the Casablanca-Mohammedia Coastal Area (Morocco). J Mar Sci Appl 21(1):92\u2013101. https:\/\/doi.org\/10.1007\/s11804-022-00261-2","journal-title":"J Mar Sci Appl"},{"key":"1119_CR37","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1016\/j.procs.2021.05.038","volume":"185","author":"P Mukherjee","year":"2021","unstructured":"Mukherjee P, Badr Y, Doppalapudi S, Srinivasan SM, Sangwan RS, Sharma R (2021) Effect of negation in sentences on sentiment analysis and polarity detection. Procedia Comput Sci 185:370\u2013379. https:\/\/doi.org\/10.1016\/j.procs.2021.05.038","journal-title":"Procedia Comput Sci"},{"key":"1119_CR38","doi-asserted-by":"publisher","unstructured":"Nhlabano VV, Lutu PEN (2018) Impact of text pre-processing on the performance of sentiment analysis models for social media data. In 2018 International conference on advances in big data, computing and data communication systems (icABCD), IEEE, pp 1\u20136. https:\/\/doi.org\/10.1109\/ICABCD.2018.8465135","DOI":"10.1109\/ICABCD.2018.8465135"},{"key":"1119_CR39","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1016\/j.rser.2018.07.018","volume":"96","author":"K Nuortimo","year":"2018","unstructured":"Nuortimo K, H\u00e4rk\u00f6nen J (2018) Opinion mining approach to study media-image of energy production. implications to public acceptance and market deployment. Renew Sustain Energy Rev 96:210\u2013217. https:\/\/doi.org\/10.1016\/j.rser.2018.07.018","journal-title":"Renew Sustain Energy Rev"},{"key":"1119_CR40","doi-asserted-by":"publisher","first-page":"2806","DOI":"10.1016\/j.rser.2017.06.086","volume":"81","author":"K Nuortimo","year":"2018","unstructured":"Nuortimo K, H\u00e4rk\u00f6nen J, Karvonen E (2018) Exploring the global media image of solar power. Renew Sustain Energy Rev 81:2806\u20132811. https:\/\/doi.org\/10.1016\/j.rser.2017.06.086","journal-title":"Renew Sustain Energy Rev"},{"key":"1119_CR41","unstructured":"Poria S, Hazarika D, Majumder N, Mihalcea R (2020) Beneath the tip of the Iceberg: current challenges and new directions in sentiment analysis research"},{"key":"1119_CR42","doi-asserted-by":"publisher","unstructured":"Pozzi Federico L, Fersini E, Messina E (2017) Sentiment analysis in social networks. Elsevier. https:\/\/doi.org\/10.1016\/C2015-0-01864-0","DOI":"10.1016\/C2015-0-01864-0"},{"key":"1119_CR43","doi-asserted-by":"publisher","unstructured":"Pradha S, Halgamuge MN, Tran Quoc Vinh N (2019) Effective text data preprocessing technique for sentiment analysis in social media data. In 2019 11th international conference on knowledge and systems engineering (KSE), IEEE, 2019. 1\u20138. https:\/\/doi.org\/10.1109\/KSE.2019.8919368.","DOI":"10.1109\/KSE.2019.8919368"},{"key":"1119_CR44","doi-asserted-by":"publisher","unstructured":"Qazi A.et al (2022) Analyzing the public opinion as a guide for renewable-energy status in Malaysia: a case study. In: IEEE Trans Eng Manag, pp 1\u201315. https:\/\/doi.org\/10.1109\/TEM.2020.3046749","DOI":"10.1109\/TEM.2020.3046749"},{"key":"1119_CR45","doi-asserted-by":"publisher","unstructured":"Shaalan K, Siddiqui S, Alkhatib M, Abdel Monem A (2018) Challenges in Arabic natural language processing. In Computational linguistics, speech and image processing for arabic language, World Scientific, pp 59\u201383. https:\/\/doi.org\/10.1142\/9789813229396_0003","DOI":"10.1142\/9789813229396_0003"},{"key":"1119_CR46","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.renene.2016.04.071","volume":"96","author":"JP Sierra","year":"2016","unstructured":"Sierra JP, Mart\u00edn C, M\u00f6sso C, Mestres M, Jebbad R (2016) Wave energy potential along the Atlantic coast of Morocco. Renew Energy 96:20\u201332. https:\/\/doi.org\/10.1016\/j.renene.2016.04.071","journal-title":"Renew Energy"},{"key":"1119_CR47","doi-asserted-by":"publisher","DOI":"10.1007\/s10619-021-07331-4","author":"R Srinivasan","year":"2021","unstructured":"Srinivasan R, Subalalitha CN (2021) Sentimental analysis from imbalanced code-mixed data using machine learning approaches. Distrib Parallel Databases. https:\/\/doi.org\/10.1007\/s10619-021-07331-4","journal-title":"Distrib Parallel Databases"},{"issue":"9","key":"1119_CR48","doi-asserted-by":"publisher","first-page":"104293","DOI":"10.1016\/j.respol.2021.104293","volume":"50","author":"N Stern","year":"2021","unstructured":"Stern N, Valero A (2021) Innovation, growth and the transition to net-zero emissions. Res Policy 50(9):104293. https:\/\/doi.org\/10.1016\/j.respol.2021.104293","journal-title":"Res Policy"},{"issue":"2","key":"1119_CR49","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1162\/COLI_a_00049","volume":"37","author":"M Taboada","year":"2011","unstructured":"Taboada M, Brooke J, Tofiloski M, Voll K, Stede M (2011) Lexicon-based methods for sentiment analysis. Comput Linguist 37(2):267\u2013307. https:\/\/doi.org\/10.1162\/COLI_a_00049","journal-title":"Comput Linguist"},{"key":"1119_CR50","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2021.02.013","author":"R Tachicart","year":"2021","unstructured":"Tachicart R, Bouzoubaa K (2021) Moroccan Arabic vocabulary generation using a rule-based approach. J King Saud Univ Comput Inf Sci. https:\/\/doi.org\/10.1016\/j.jksuci.2021.02.013","journal-title":"J King Saud Univ Comput Inf Sci"},{"key":"1119_CR51","doi-asserted-by":"publisher","first-page":"100018","DOI":"10.1016\/j.diggeo.2021.100018","volume":"2","author":"L Tuitjer","year":"2021","unstructured":"Tuitjer L, Dirksmeier P (2021) Social media and perceived climate change efficacy: a European comparison. Digit Geogr Soc 2:100018. https:\/\/doi.org\/10.1016\/j.diggeo.2021.100018","journal-title":"Digit Geogr Soc"},{"key":"1119_CR52","doi-asserted-by":"publisher","first-page":"112834","DOI":"10.1016\/j.eswa.2019.112834","volume":"138","author":"S Vashishtha","year":"2019","unstructured":"Vashishtha S, Susan S (2019) Fuzzy rule based unsupervised sentiment analysis from social media posts. Expert Syst Appl 138:112834. https:\/\/doi.org\/10.1016\/j.eswa.2019.112834","journal-title":"Expert Syst Appl"},{"issue":"7","key":"1119_CR53","doi-asserted-by":"publisher","first-page":"4071","DOI":"10.3390\/su14074071","volume":"14","author":"M Vespa","year":"2022","unstructured":"Vespa M, Kortsch T, Hildebrand J, Schweizer-Ries P, Volkmer SA (2022) Not all places are equal: using instagram to understand cognitions and affect towards renewable energy infrastructures. Sustainability 14(7):4071. https:\/\/doi.org\/10.3390\/su14074071","journal-title":"Sustainability"},{"issue":"7","key":"1119_CR54","doi-asserted-by":"publisher","first-page":"5731","DOI":"10.1007\/s10462-022-10144-1","volume":"55","author":"M Wankhade","year":"2022","unstructured":"Wankhade M, Rao ACS, Kulkarni C (2022) A survey on sentiment analysis methods, applications, and challenges. Artif Intell Rev 55(7):5731\u20135780. https:\/\/doi.org\/10.1007\/s10462-022-10144-1","journal-title":"Artif Intell Rev"},{"key":"1119_CR55","unstructured":"WorldPublicOpinion.net, \u201cWorld Publics Strongly Favor Requiring More Wind and Solar Energy, More Efficiency, Even If It Increases Costs,\u201d 2008"},{"key":"1119_CR56","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.inffus.2016.09.001","volume":"35","author":"F Wu","year":"2017","unstructured":"Wu F, Huang Y, Yuan Z (2017) Domain-specific sentiment classification via fusing sentiment knowledge from multiple sources. Inf Fusion 35:26\u201337. https:\/\/doi.org\/10.1016\/j.inffus.2016.09.001","journal-title":"Inf Fusion"},{"key":"1119_CR57","doi-asserted-by":"publisher","DOI":"10.3145\/epi.2022.ene.14","author":"E Zarrabeitia-Bilbao","year":"2022","unstructured":"Zarrabeitia-Bilbao E, Morales-i-Gras J, R\u00edo-Belver R-M, Garechana-Anacabe G (2022) Green energy: identifying development trends in society using Twitter data mining to make strategic decisions. El Prof De La Inf. https:\/\/doi.org\/10.3145\/epi.2022.ene.14","journal-title":"El Prof De La Inf"}],"updated-by":[{"DOI":"10.1007\/s13278-023-01191-9","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T00:00:00Z","timestamp":1705104000000}}],"container-title":["Social Network Analysis and Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13278-023-01119-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13278-023-01119-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13278-023-01119-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T05:22:37Z","timestamp":1705468957000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13278-023-01119-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,25]]},"references-count":57,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["1119"],"URL":"https:\/\/doi.org\/10.1007\/s13278-023-01119-3","relation":{"correction":[{"id-type":"doi","id":"10.1007\/s13278-023-01191-9","asserted-by":"object"}]},"ISSN":["1869-5469"],"issn-type":[{"value":"1869-5469","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,25]]},"assertion":[{"value":"26 July 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 August 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 August 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 September 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 January 2024","order":5,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":6,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"A Correction to this paper has been published:","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"https:\/\/doi.org\/10.1007\/s13278-023-01191-9","URL":"https:\/\/doi.org\/10.1007\/s13278-023-01191-9","order":8,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"124"}}