{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T09:04:51Z","timestamp":1780563891210,"version":"3.54.1"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031476396","type":"print"},{"value":"9783031476402","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:00:00Z","timestamp":1699488000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:00:00Z","timestamp":1699488000000},"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":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-47640-2_3","type":"book-chapter","created":{"date-parts":[[2023,11,8]],"date-time":"2023-11-08T06:01:56Z","timestamp":1699423316000},"page":"28-38","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Data Mining and\u00a0Analysis of\u00a0NLP Methods in\u00a0Students Evaluation of\u00a0Teaching"],"prefix":"10.1007","author":[{"given":"Diego","family":"Acosta-Ugalde","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Santiago Enrique","family":"Conant-Pablos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Claudia","family":"Camacho-Zu\u00f1iga","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9s Eduardo","family":"Guti\u00e9rrez-Rodr\u00edguez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,11,9]]},"reference":[{"issue":"7","key":"3_CR1","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1080\/03075079.2010.549221","volume":"37","author":"RE Bedggood","year":"2012","unstructured":"Bedggood, R.E., Donovan, J.D.: University performance evaluations: what are we really measuring? Stud. High. Educ. 37(7), 825\u2013842 (2012)","journal-title":"Stud. High. Educ."},{"issue":"6","key":"3_CR2","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1080\/07294360.2016.1160873","volume":"35","author":"M Cheng","year":"2016","unstructured":"Cheng, M., Taylor, J., Williams, J., Tong, K.: Student satisfaction and perceptions of quality: testing the linkages for PhD students. High. Educ. Res. Dev. 35(6), 1153\u20131166 (2016)","journal-title":"High. Educ. Res. Dev."},{"issue":"2","key":"3_CR3","first-page":"101","volume":"21","author":"DE Clayson","year":"2011","unstructured":"Clayson, D.E., Haley, D.A.: Are students telling us the truth? a critical look at the student evaluation of teaching. Mark. Educ. Rev. 21(2), 101\u2013112 (2011)","journal-title":"Mark. Educ. Rev."},{"issue":"1","key":"3_CR4","first-page":"60","volume":"2","author":"J Cook","year":"2019","unstructured":"Cook, J., Chen, C., Griffin, A.: Using text mining and data mining techniques for applied learning assessment. J. Effect. Teach. High. Educ. 2(1), 60\u201379 (2019)","journal-title":"J. Effect. Teach. High. Educ."},{"key":"3_CR5","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"3_CR6","unstructured":"Hoang, M., Bihorac, O.A., Rouces, J.: Aspect-based sentiment analysis using BERT. In: Proceedings of the 22nd nordic conference on computational linguistics, pp. 187\u2013196 (2019)"},{"issue":"3","key":"3_CR7","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1080\/02602938.2018.1511969","volume":"44","author":"A Hoel","year":"2019","unstructured":"Hoel, A., Dahl, T.I.: Why bother? student motivation to participate in student evaluations of teaching. Assess. Eval. High. Educ. 44(3), 361\u2013378 (2019)","journal-title":"Assess. Eval. High. Educ."},{"key":"3_CR8","unstructured":"Ikauniece, I.: Sentiment analysis of student evaluation of teaching (2018)"},{"issue":"9","key":"3_CR9","doi-asserted-by":"publisher","first-page":"5705","DOI":"10.3390\/ijerph19095705","volume":"19","author":"M Jojoa","year":"2022","unstructured":"Jojoa, M., et al.: Analysis of the effects of lockdown on staff and students at universities in Spain and Colombia using natural language processing techniques. Int. J. Environ. Res. Public Health 19(9), 5705 (2022)","journal-title":"Int. J. Environ. Res. Public Health"},{"issue":"8","key":"3_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.17485\/ijst\/2019\/v12i8\/141741","volume":"12","author":"IA Kandhro","year":"2019","unstructured":"Kandhro, I.A., Wasi, S., Kumar, K., Rind, M., Ameen, M.: Sentiment analysis of students\u2019 comment using long-short term model. Indian J. Sci. Technol. 12(8), 1\u201316 (2019)","journal-title":"Indian J. Sci. Technol."},{"issue":"4","key":"3_CR11","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1177\/0098628315603062","volume":"42","author":"ME Kite","year":"2015","unstructured":"Kite, M.E., Subedi, P.C., Bryant-Lees, K.B.: Students\u2019 perceptions of the teaching evaluation process. Teach. Psychol. 42(4), 307\u2013314 (2015)","journal-title":"Teach. Psychol."},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Ku\u010dak, D., Juri\u010di\u0107, V., \u0110ambi\u0107, G.: Machine learning in education-a survey of current research trends. Annals of DAAAM & Proceedings 29 (2018)","DOI":"10.2507\/29th.daaam.proceedings.059"},{"issue":"4","key":"3_CR13","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1080\/01488376.2011.580697","volume":"37","author":"SO Leung","year":"2011","unstructured":"Leung, S.O.: A comparison of psychometric properties and normality in 4-, 5-, 6-, and 11-point likert scales. J. Soc. Serv. Res. 37(4), 412\u2013421 (2011)","journal-title":"J. Soc. Serv. Res."},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Litman, D., Forbes-Riley, K.: Predicting student emotions in computer-human tutoring dialogues. In: Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04), pp. 351\u2013358 (2004)","DOI":"10.3115\/1218955.1219000"},{"issue":"1","key":"3_CR15","doi-asserted-by":"publisher","first-page":"87","DOI":"10.15665\/rp.v17i1.1961","volume":"17","author":"CH Miranda","year":"2019","unstructured":"Miranda, C.H., Buelvas, E.: AspectSA: unsupervised system for aspect based sentiment analysis in Spanish. Prospectiva 17(1), 87\u201395 (2019)","journal-title":"Prospectiva"},{"issue":"1","key":"3_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s41239-020-00224-z","volume":"17","author":"K Okoye","year":"2020","unstructured":"Okoye, K., et al.: Impact of students evaluation of teaching: a text analysis of the teachers qualities by gender. Int. J. Educ. Technol. High. Educ. 17(1), 1\u201327 (2020)","journal-title":"Int. J. Educ. Technol. High. Educ."},{"issue":"3","key":"3_CR17","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1177\/1094428117745648","volume":"22","author":"S Pandey","year":"2019","unstructured":"Pandey, S., Pandey, S.K.: Applying natural language processing capabilities in computerized textual analysis to measure organizational culture. Organ. Res. Methods 22(3), 765\u2013797 (2019)","journal-title":"Organ. Res. Methods"},{"key":"3_CR18","unstructured":"Pedro, F., Subosa, M., Rivas, A., Valverde, P.: Artificial intelligence in education: challenges and opportunities for sustainable development (2019)"},{"key":"3_CR19","doi-asserted-by":"crossref","unstructured":"Rajput, Q., Haider, S., Ghani, S., et al.: Lexicon-based sentiment analysis of teachers\u2019 evaluation. Appl. Comput. Intell. Soft Comput. 2016 (2016)","DOI":"10.1155\/2016\/2385429"},{"issue":"1","key":"3_CR20","doi-asserted-by":"publisher","first-page":"797","DOI":"10.1007\/s10639-022-11151-z","volume":"28","author":"P Ren","year":"2023","unstructured":"Ren, P., Yang, L., Luo, F.: Automatic scoring of student feedback for teaching evaluation based on aspect-level sentiment analysis. Educ. Inf. Technol. 28(1), 797\u2013814 (2023)","journal-title":"Educ. Inf. Technol."},{"issue":"3","key":"3_CR21","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1108\/QAE-03-2020-0032","volume":"28","author":"K Rybinski","year":"2020","unstructured":"Rybinski, K.: Are rankings and accreditation related? examining the dynamics of higher education in Poland. Qual. Assur. Educ. 28(3), 193\u2013204 (2020)","journal-title":"Qual. Assur. Educ."},{"key":"3_CR22","doi-asserted-by":"crossref","unstructured":"Rybinski, K., Kopciuszewska, E.: Will artificial intelligence revolutionise the student evaluation of teaching? A big data study of 1.6 million student reviews. Assess. Eval. High. Educ. 46(7), 1127\u20131139 (2021)","DOI":"10.1080\/02602938.2020.1844866"},{"issue":"1","key":"3_CR23","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1108\/QAE-11-2016-0062","volume":"26","author":"E Santhanam","year":"2018","unstructured":"Santhanam, E., Lynch, B., Jones, J.: Making sense of student feedback using text analysis-adapting and expanding a common lexicon. Qual. Assur. Educ. 26(1), 60\u201369 (2018)","journal-title":"Qual. Assur. Educ."},{"issue":"3","key":"3_CR24","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1108\/IJEM-01-2017-0027","volume":"32","author":"CL Santos","year":"2018","unstructured":"Santos, C.L., Rita, P., Guerreiro, J.: Improving international attractiveness of higher education institutions based on text mining and sentiment analysis. Int. J. Educ. Manag. 32(3), 431\u2013447 (2018)","journal-title":"Int. J. Educ. Manag."},{"issue":"5","key":"3_CR25","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1080\/13562510802334772","volume":"13","author":"S Schuck","year":"2008","unstructured":"Schuck, S., Gordon, S., Buchanan, J.: What are we missing here? problematising wisdoms on teaching quality and professionalism in higher education. Teach. High. Educ. 13(5), 537\u2013547 (2008)","journal-title":"Teach. High. Educ."},{"key":"3_CR26","doi-asserted-by":"publisher","first-page":"108729","DOI":"10.1109\/ACCESS.2019.2928872","volume":"7","author":"I Sindhu","year":"2019","unstructured":"Sindhu, I., Daudpota, S.M., Badar, K., Bakhtyar, M., Baber, J., Nurunnabi, M.: Aspect-based opinion mining on student\u2019s feedback for faculty teaching performance evaluation. IEEE Access 7, 108729\u2013108741 (2019)","journal-title":"IEEE Access"},{"key":"3_CR27","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s10755-015-9328-5","volume":"41","author":"I Stupans","year":"2016","unstructured":"Stupans, I., McGuren, T., Babey, A.M.: Student evaluation of teaching: a study exploring student rating instrument free-form text comments. Innov. High. Educ. 41, 33\u201342 (2016)","journal-title":"Innov. High. Educ."},{"key":"3_CR28","unstructured":"Wolf, T., et al.: Transformers: state-of-the-art natural language processing. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pp. 38\u201345 (2020)"}],"container-title":["Lecture Notes in Computer Science","Advances in Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-47640-2_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:08:25Z","timestamp":1699488505000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-47640-2_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,9]]},"ISBN":["9783031476396","9783031476402"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-47640-2_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,9]]},"assertion":[{"value":"9 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexican International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Yucat\u00e1n","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"micai2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.micai.org\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft's CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"115","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":"49","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":"43% - 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":"3","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)"}}]}}