{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:28:26Z","timestamp":1742963306217,"version":"3.40.3"},"publisher-location":"Cham","reference-count":46,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030620141"},{"type":"electronic","value":"9783030620158"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-62015-8_4","type":"book-chapter","created":{"date-parts":[[2020,10,28]],"date-time":"2020-10-28T00:31:14Z","timestamp":1603845074000},"page":"43-57","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Knowledge Extraction from Twitter Towards Infectious Diseases in Spanish"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4059-9516","authenticated-orcid":false,"given":"\u00d3scar","family":"Apolinario-Arzube","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3651-2660","authenticated-orcid":false,"given":"Jos\u00e9 Antonio","family":"Garc\u00eda-D\u00edaz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8998-9078","authenticated-orcid":false,"given":"Harry","family":"Luna-Aveiga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1728-1462","authenticated-orcid":false,"given":"Jos\u00e9","family":"Medina-Moreira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2457-1791","authenticated-orcid":false,"given":"Rafael","family":"Valencia-Garc\u00eda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,28]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Ajao, O., Bhowmik, D., Zargari, S.: Fake news identification on twitter with hybrid CNN and RNN models. In: Proceedings of the 9th International Conference on Social Media and Society, pp. 226\u2013230 (2018)","DOI":"10.1145\/3217804.3217917"},{"key":"4_CR2","doi-asserted-by":"publisher","DOI":"10.3390\/app9142858","author":"O Apolinardo-Arzube","year":"2019","unstructured":"Apolinardo-Arzube, O., Garc\u00eda-D\u00edaz, J.A., Medina-Moreira, J., Luna-Aveiga, H., Valencia-Garc\u00eda, R.: Evaluating information-retrieval models and machine-learning classifiers for measuring the social perception towards infectious diseases. Appl. Sci. (2019). https:\/\/doi.org\/10.3390\/app9142858","journal-title":"Appl. Sci."},{"key":"4_CR3","first-page":"163","volume":"63","author":"\u00d3 Apolinario-Arzube","year":"2019","unstructured":"Apolinario-Arzube, \u00d3., Medina-Moreira, J., Luna-Aveiga, H., Garc\u00eda-D\u00edaz, J.A., Valencia-Garc\u00eda, R., Estrade-Cabrera, J.I.: Prevenci\u00f3n de enfermedades infecciosas basada en el an\u00e1lisis inteligente en rrss y participaci\u00f3n ciudadana. Procesamiento del Lenguaje Nat. 63, 163\u2013166 (2019)","journal-title":"Procesamiento del Lenguaje Nat."},{"key":"4_CR4","unstructured":"Baccianella, S., Esuli, A., Sebastiani, F.: SentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining. In: LREC, vol. 10, pp. 2200\u20132204 (2010)"},{"issue":"4","key":"4_CR5","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1002\/cpt.1796","volume":"107","author":"S Badillo","year":"2020","unstructured":"Badillo, S., et al.: An introduction to machine learning. Clin. Pharmacol. Ther. 107(4), 871\u2013885 (2020)","journal-title":"Clin. Pharmacol. Ther."},{"issue":"3","key":"4_CR6","doi-asserted-by":"crossref","first-page":"33","DOI":"10.7203\/rd.v1i3.74","volume":"1","author":"T Baviera","year":"2017","unstructured":"Baviera, T.: T\u00e9cnicas para el an\u00e1lisis de sentimiento en twitter: aprendizaje autom\u00e1tico supervisado y sentistrength. Rev. D\u00edgitos 1(3), 33\u201350 (2017)","journal-title":"Rev. D\u00edgitos"},{"issue":"10","key":"4_CR7","first-page":"e1792","volume":"9","author":"N Chandrasekaran","year":"2017","unstructured":"Chandrasekaran, N., et al.: The utility of social media in providing information on Zika virus. Cureus 9(10), e1792 (2017)","journal-title":"Cureus"},{"issue":"11","key":"4_CR8","doi-asserted-by":"publisher","first-page":"e14118","DOI":"10.1371\/journal.pone.0014118","volume":"5","author":"C Chew","year":"2010","unstructured":"Chew, C., Eysenbach, G.: Pandemics in the age of Twitter: content analysis of tweets during the 2009 H1N1 outbreak. PLoS ONE 5(11), e14118 (2010)","journal-title":"PLoS ONE"},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"Cort\u00e9s, V.D., Vel\u00e1squez, J.D., Ib\u00e1\u00f1ez, C.F.: Twitter for marijuana infodemiology. In: Proceedings of the International Conference on Web Intelligence, pp. 730\u2013736 (2017)","DOI":"10.1145\/3106426.3106541"},{"issue":"2","key":"4_CR10","doi-asserted-by":"publisher","first-page":"e18444","DOI":"10.2196\/18444","volume":"6","author":"JY Cuan-Baltazar","year":"2020","unstructured":"Cuan-Baltazar, J.Y., Mu\u00f1oz-Perez, M.J., Robledo-Vega, C., P\u00e9rez-Zepeda, M.F., Soto-Vega, E.: Misinformation of COVID-19 on the internet: infodemiology study. JMIR Public Health Surveill. 6(2), e18444 (2020). https:\/\/doi.org\/10.2196\/18444. http:\/\/publichealth.jmir.org\/2020\/2\/e18444\/","journal-title":"JMIR Public Health Surveill."},{"key":"4_CR11","doi-asserted-by":"publisher","unstructured":"Dey, L., Haque, S.K.: Opinion mining from noisy text data. In: Proceedings of SIGIR 2008 Workshop on Analytics for Noisy Unstructured Text Data, AND 2008 (2008). https:\/\/doi.org\/10.1145\/1390749.1390763","DOI":"10.1145\/1390749.1390763"},{"key":"4_CR12","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1016\/j.procs.2017.11.073","volume":"121","author":"K Espina","year":"2017","unstructured":"Espina, K., Estuar, M.R.J.E.: Infodemiology for syndromic surveillance of dengue and typhoid fever in the Philippines. Procedia Comput. Sci. 121, 554\u2013561 (2017). https:\/\/doi.org\/10.1016\/j.procs.2017.11.073. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1877050917322731","journal-title":"Procedia Comput. Sci."},{"issue":"2","key":"4_CR13","doi-asserted-by":"publisher","first-page":"e14","DOI":"10.2196\/jmir.5.2.e14","volume":"5","author":"G Eysenbach","year":"2003","unstructured":"Eysenbach, G.: SARS and population health technology. J. Med. Internet Res. 5(2), e14 (2003)","journal-title":"J. Med. Internet Res."},{"key":"4_CR14","unstructured":"Eysenbach, G.: Infodemiology: tracking flu-related searches on the web for syndromic surveillance. In: AMIA Annual Symposium Proceedings, vol. 2006, p. 244. American Medical Informatics Association (2006)"},{"issue":"3","key":"4_CR15","doi-asserted-by":"publisher","first-page":"e22","DOI":"10.2196\/jmir.1030","volume":"10","author":"G Eysenbach","year":"2008","unstructured":"Eysenbach, G.: Medicine 2.0: social networking, collaboration, participation, apomediation, and openness. J. Med. Internet Res. 10(3), e22 (2008)","journal-title":"J. Med. Internet Res."},{"issue":"1","key":"4_CR16","doi-asserted-by":"publisher","first-page":"e11","DOI":"10.2196\/jmir.1157","volume":"11","author":"G Eysenbach","year":"2009","unstructured":"Eysenbach, G.: Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the internet. J. Med. Internet Res. 11(1), e11 (2009)","journal-title":"J. Med. Internet Res."},{"key":"4_CR17","doi-asserted-by":"publisher","unstructured":"Fiesler, C., Proferes, N.: \u201cParticipant\u201d perceptions of Twitter research ethics. Soc. Media+ Soc. 4(1) (2018). https:\/\/doi.org\/10.1177\/2056305118763366","DOI":"10.1177\/2056305118763366"},{"key":"4_CR18","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1016\/j.future.2020.06.019","volume":"112","author":"JA Garc\u00eda-D\u00edaz","year":"2020","unstructured":"Garc\u00eda-D\u00edaz, J.A., C\u00e1novas-Garc\u00eda, M., Valencia-Garc\u00eda, R.: Ontology-driven aspect-based sentiment analysis classification: an infodemiological case study regarding infectious diseases in Latin America. Future Gener. Comput. Syst. Impress 112, 641\u2013657 (2020)","journal-title":"Future Gener. Comput. Syst. Impress"},{"key":"4_CR19","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1016\/j.future.2020.08.032","volume":"114","author":"JA Garc\u00eda-D\u00edaz","year":"2021","unstructured":"Garc\u00eda-D\u00edaz, J.A., C\u00e1novas-Garc\u00eda, M., Colomo-Palacios, R., Valencia-Garc\u00eda, R.: Detecting misogyny in Spanish tweets: an approach based on linguistics features and word embeddings. Future Gener. Comput. Syst. 114, 506\u2013518 (2021). https:\/\/doi.org\/10.1016\/j.future.2020.08.032. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167739X20301928","journal-title":"Future Gener. Comput. Syst."},{"key":"4_CR20","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/j.trc.2016.02.011","volume":"67","author":"Y Gu","year":"2016","unstructured":"Gu, Y., Qian, Z.S., Chen, F.: From Twitter to detector: real-time traffic incident detection using social media data. Transp. Res. Part C: Emerg. Technol. 67, 321\u2013342 (2016)","journal-title":"Transp. Res. Part C: Emerg. Technol."},{"issue":"1","key":"4_CR21","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1080\/03081079.2017.1291635","volume":"46","author":"L Havrlant","year":"2017","unstructured":"Havrlant, L., Kreinovich, V.: A simple probabilistic explanation of term frequency-inverse document frequency (TF-IDF) heuristic (and variations motivated by this explanation). Int. J. Gen. Syst. 46(1), 27\u201336 (2017)","journal-title":"Int. J. Gen. Syst."},{"issue":"2","key":"4_CR22","doi-asserted-by":"publisher","first-page":"e18717","DOI":"10.2196\/18717","volume":"6","author":"I Hern\u00e1ndez-Garc\u00eda","year":"2020","unstructured":"Hern\u00e1ndez-Garc\u00eda, I., Gim\u00e9nez-J\u00falvez, T.: Assessment of health information about COVID-19 prevention on the internet: infodemiological study. JMIR Public Health Surveill. 6(2), e18717 (2020). https:\/\/doi.org\/10.2196\/18717. https:\/\/publichealth.jmir.org\/2020\/2\/e18717","journal-title":"JMIR Public Health Surveill."},{"key":"4_CR23","doi-asserted-by":"crossref","unstructured":"Hockx-Yu, H.: The Web as History (2018)","DOI":"10.1080\/24701475.2018.1509579"},{"key":"4_CR24","doi-asserted-by":"publisher","unstructured":"Jeevan Nagendra Kumar, Y., Mani Sai, B., Shailaja, V., Renuka, S., Panduri, B.: Python NLTK sentiment inspection using Na\u00efve Bayes classifier. Int. J. Recent Technol. Eng. (2019). https:\/\/doi.org\/10.35940\/ijrte.B1328.0982S1119","DOI":"10.35940\/ijrte.B1328.0982S1119"},{"issue":"10","key":"4_CR25","doi-asserted-by":"publisher","first-page":"1141","DOI":"10.3923\/tasr.2011.1141.1157","volume":"6","author":"A Khan","year":"2011","unstructured":"Khan, A., Baharudin, B., Khan, K.: Sentiment classification using sentence-level lexical based. Trends Appl. Sci. Res. 6(10), 1141\u20131157 (2011)","journal-title":"Trends Appl. Sci. Res."},{"key":"4_CR26","doi-asserted-by":"publisher","unstructured":"Kim, S.M., Hovy, E.: Identifying and analyzing judgment opinions. In: HLT-NAACL 2006 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings of the Main Conference (2006). https:\/\/doi.org\/10.3115\/1220835.1220861","DOI":"10.3115\/1220835.1220861"},{"key":"4_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1007\/978-3-319-46493-0_35","volume-title":"Computer Vision","author":"G Larsson","year":"2016","unstructured":"Larsson, G., Maire, M., Shakhnarovich, G.: Learning representations for automatic colorization. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9908, pp. 577\u2013593. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46493-0_35"},{"key":"4_CR28","series-title":"Lecture Notes in Electrical Engineering","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/978-981-15-0058-9_28","volume-title":"Computational Science and Technology","author":"WL Lim","year":"2020","unstructured":"Lim, W.L., Ho, C.C., Ting, C.-Y.: Tweet sentiment analysis using deep learning with nearby locations as features. In: Alfred, R., Lim, Y., Haviluddin, H., On, C.K. (eds.) Computational Science and Technology. LNEE, vol. 603, pp. 291\u2013299. Springer, Singapore (2020). https:\/\/doi.org\/10.1007\/978-981-15-0058-9_28"},{"issue":"1","key":"4_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2200\/S00416ED1V01Y201204HLT016","volume":"5","author":"B Liu","year":"2012","unstructured":"Liu, B.: Sentiment analysis and opinion mining. Synth. Lect. Hum. Lang. Technol. 5(1), 1\u2013167 (2012)","journal-title":"Synth. Lect. Hum. Lang. Technol."},{"key":"4_CR30","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/978-3-319-61911-8_13","volume-title":"Advanced Computational Methods for Knowledge Engineering","author":"H Luna-Aveiga","year":"2018","unstructured":"Luna-Aveiga, H., et al.: Sentiment polarity detection in social networks: an approach for asthma disease management. In: Le, N.-T., Van Do, T., Nguyen, N.T., Thi, H.A.L. (eds.) ICCSAMA 2017. AISC, vol. 629, pp. 141\u2013152. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-61911-8_13"},{"key":"4_CR31","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.actatropica.2016.11.020","volume":"166","author":"SV Mayer","year":"2017","unstructured":"Mayer, S.V., Tesh, R.B., Vasilakis, N.: The emergence of arthropod-borne viral diseases: a global prospective on Dengue, Chikungunya and Zika fevers. Acta Tropica 166, 155\u2013163 (2017). https:\/\/doi.org\/10.1016\/j.actatropica.2016.11.020. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0001706X16306246","journal-title":"Acta Tropica"},{"key":"4_CR32","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/978-3-030-00940-3_17","volume-title":"Technologies and Innovation","author":"JA Garc\u00eda-D\u00edaz","year":"2018","unstructured":"Garc\u00eda-D\u00edaz, J.A., et al.: Opinion mining for measuring the social perception of infectious diseases. an infodemiology approach. In: Valencia-Garc\u00eda, R., Alcaraz-M\u00e1rmol, G., Del Cioppo-Morstadt, J., Vera-Lucio, N., Bucaram-Leverone, M. (eds.) CITI 2018. CCIS, vol. 883, pp. 229\u2013239. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00940-3_17"},{"key":"4_CR33","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space (2013)"},{"issue":"10","key":"4_CR34","doi-asserted-by":"publisher","first-page":"4241","DOI":"10.1016\/j.eswa.2013.01.019","volume":"40","author":"MM Mostafa","year":"2013","unstructured":"Mostafa, M.M.: More than words: social networks\u2019 text mining for consumer brand sentiments. Expert Syst. Appl. 40(10), 4241\u20134251 (2013)","journal-title":"Expert Syst. Appl."},{"issue":"1\u20132","key":"4_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/1500000011","volume":"2","author":"B Pang","year":"2008","unstructured":"Pang, B., Lee, L., et al.: Opinion mining and sentiment analysis. Found. Trends\u00ae Inf. Retrieval 2(1\u20132), 1\u2013135 (2008)","journal-title":"Found. Trends\u00ae Inf. Retrieval"},{"key":"4_CR36","doi-asserted-by":"crossref","unstructured":"Paredes-Valverde, M.A., Colomo-Palacios, R., Salas-Z\u00e1rate, M.d.P., Valencia-Garc\u00eda, R.: Sentiment analysis in Spanish for improvement of products and services: a deep learning approach. Sci. Program. 2017 (2017)","DOI":"10.1155\/2017\/1329281"},{"issue":"6","key":"4_CR37","doi-asserted-by":"publisher","first-page":"671","DOI":"10.5811\/westjem.2016.9.30904","volume":"17","author":"J Patterson","year":"2016","unstructured":"Patterson, J., Sammon, M., Garg, M.: Dengue, Zika and Chikungunya: emerging arboviruses in the new world. West. J. Emerg. Med. 17(6), 671 (2016)","journal-title":"West. J. Emerg. Med."},{"issue":"5","key":"4_CR38","doi-asserted-by":"publisher","first-page":"678","DOI":"10.2105\/AJPH.86.5.678","volume":"86","author":"N Pearce","year":"1996","unstructured":"Pearce, N.: Traditional epidemiology, modern epidemiology, and public health. Am. J. Public Health 86(5), 678\u2013683 (1996)","journal-title":"Am. J. Public Health"},{"key":"4_CR39","doi-asserted-by":"crossref","unstructured":"Ramteke, J., Shah, S., Godhia, D., Shaikh, A.: Election result prediction using Twitter sentiment analysis. In: 2016 International Conference on Inventive Computation Technologies (ICICT), vol. 1, pp. 1\u20135. IEEE (2016)","DOI":"10.1109\/INVENTIVE.2016.7823280"},{"key":"4_CR40","unstructured":"Ruiz-Mart\u00ednez, J.M., Valencia-Garc\u00eda, R., Garc\u00eda-S\u00e1nchez, F., et al.: Semantic-based sentiment analysis in financial news. In: Proceedings of the 1st International Workshop on Finance and Economics on the Semantic Web, pp. 38\u201351 (2012)"},{"key":"4_CR41","doi-asserted-by":"crossref","unstructured":"Salas-Z\u00e1rate, M.d.P., Medina-Moreira, J., Lagos-Ortiz, K., Luna-Aveiga, H., Rodriguez-Garcia, M.A., Valencia-Garcia, R.: Sentiment analysis on tweets about Diabetes: an aspect-level approach. Comput. Math. Methods Med. 2017 (2017)","DOI":"10.1155\/2017\/5140631"},{"issue":"5","key":"4_CR42","first-page":"691","volume":"22","author":"MDP Salas-Z\u00e1rate","year":"2016","unstructured":"Salas-Z\u00e1rate, M.D.P., Paredes-Valverde, M.A., Limon-Romero, J., Tlapa, D., Baez-Lopez, Y.: Sentiment classification of Spanish reviews: an approach based on feature selection and machine learning methods. J. UCS 22(5), 691\u2013708 (2016)","journal-title":"J. UCS"},{"key":"4_CR43","doi-asserted-by":"publisher","unstructured":"del Pilar Salas-Z\u00e1rate, M., Paredes-Valverde, M.A., Rodriguez-Garc\u00eda, M.\u00c1., Valencia-Garc\u00eda, R., Alor-Hern\u00e1ndez, G.: Automatic detection of satire in Twitter: a psycholinguistic-based approach. Knowl. Based Syst. 128, 20\u201333 (2017). https:\/\/doi.org\/10.1016\/j.knosys.2017.04.009","DOI":"10.1016\/j.knosys.2017.04.009"},{"issue":"4","key":"4_CR44","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1080\/10919392.2012.723585","volume":"22","author":"TJ Saldanha","year":"2012","unstructured":"Saldanha, T.J., Krishnan, M.S.: Organizational adoption of web 2.0 technologies: an empirical analysis. J. Organ. Comput. Electron. Commer. 22(4), 301\u2013333 (2012)","journal-title":"J. Organ. Comput. Electron. Commer."},{"issue":"6","key":"4_CR45","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1080\/10810730500228847","volume":"10","author":"RM Wolfe","year":"2005","unstructured":"Wolfe, R.M., Sharp, L.K.: Vaccination or immunization? The impact of search terms on the internet. J. Health Commun. 10(6), 537\u2013551 (2005). https:\/\/doi.org\/10.1080\/10810730500228847. pMID: 16203632","journal-title":"J. Health Commun."},{"issue":"3","key":"4_CR46","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1109\/MCI.2018.2840738","volume":"13","author":"T Young","year":"2018","unstructured":"Young, T., Hazarika, D., Poria, S., Cambria, E.: Recent trends in deep learning based natural language processing. IEEE Comput. Intell. Mag. 13(3), 55\u201375 (2018)","journal-title":"IEEE Comput. Intell. Mag."}],"container-title":["Communications in Computer and Information Science","Technologies and Innovation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-62015-8_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,16]],"date-time":"2024-08-16T14:24:03Z","timestamp":1723818243000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-62015-8_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030620141","9783030620158"],"references-count":46,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-62015-8_4","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"28 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CITI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Technologies and Innovation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guayaquil","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ecuador","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"citi2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/congresos.uagraria.edu.ec\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"41","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"39% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}