{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T04:04:12Z","timestamp":1743048252328,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031466731"},{"type":"electronic","value":"9783031466748"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-46674-8_1","type":"book-chapter","created":{"date-parts":[[2023,11,4]],"date-time":"2023-11-04T13:02:29Z","timestamp":1699102949000},"page":"3-17","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["SL-TeaE: An Efficient Method for Improving the Precision of Teaching Evaluation"],"prefix":"10.1007","author":[{"given":"Xianzhi","family":"Huang","sequence":"first","affiliation":[]},{"given":"Lina","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Yuzhou","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Hongjie","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Fangyao","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Hong","family":"Gao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,11,5]]},"reference":[{"key":"1_CR1","unstructured":"Wang, B.: Research on Sentiment Analysis of Student Evaluations of Teaching Based on Deep Learning. Chongqing University of Posts and Telecommunications (2021)"},{"key":"1_CR2","doi-asserted-by":"crossref","unstructured":"Balahadia, F.F., Fernando, M., Juanatas I.C.: Teachers performance evaluation tool using opinion mining with sentiment analysis. In: 2016 IEEE Region 10 Symposium (TENSYMP), pp. 95\u221298. IEEE (2016)","DOI":"10.1109\/TENCONSpring.2016.7519384"},{"issue":"1","key":"1_CR3","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1002\/cae.22068","volume":"27","author":"Q Lin","year":"2019","unstructured":"Lin, Q., Zhu, Y., Zang, S., et al.: Lexical based automated teaching evaluation via students short reviews. Comput. Appl. Eng. Educ. 27(1), 194\u2013205 (2019)","journal-title":"Comput. Appl. Eng. Educ."},{"key":"1_CR4","doi-asserted-by":"crossref","unstructured":"Wang, B., Gao, L., An, T., et al: A method of educational news classification based on emotional dictionary. In: 2018 Chinese Control and Decision Conference. Shenyang, China, pp. 3547\u22123551. IEEE (2018)","DOI":"10.1109\/CCDC.2018.8407737"},{"issue":"2","key":"1_CR5","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., et al.: Lexicon based methods for sentiment analysis. Comput. Linguist. 37(2), 267\u2013307 (2011)","journal-title":"Comput. Linguist."},{"issue":"8","key":"1_CR6","doi-asserted-by":"publisher","first-page":"2131","DOI":"10.1007\/s13042-017-0757-6","volume":"10","author":"Y Cai","year":"2019","unstructured":"Cai, Y., Yang, K., Zhou, Z., et al.: A hybrid model for opinion mining based on domain sentiment dictionary. Int. J. Mach. Learn. Cybern. 10(8), 2131\u20132142 (2019)","journal-title":"Int. J. Mach. Learn. Cybern."},{"issue":"10","key":"1_CR7","first-page":"2875","volume":"29","author":"W Liu","year":"2009","unstructured":"Liu, W., Zhu, Y., Li, C., et al.: Research on building Chinese basic semantic lexicon. J. Comput. Appl. 29(10), 2875\u20132877 (2009)","journal-title":"J. Comput. Appl."},{"issue":"4","key":"1_CR8","first-page":"691","volume":"31","author":"C Yang","year":"2010","unstructured":"Yang, C., Feng, S., Wang, D., et al.: Analysis on web public opinion orientation based on extending sentiment lexicon. J. Chin. Comput. Syst. 31(4), 691\u2013695 (2010)","journal-title":"J. Chin. Comput. Syst."},{"key":"1_CR9","unstructured":"Zhou, Y., Yang, J., Yang, A.: A method on building Chinese sentiment lexicon for text sentiment analysis. J. Shandong Univ. (Eng. Sci. ) 6, 27\u201333 (2013)"},{"key":"1_CR10","unstructured":"Hatzivassiloglou, V., Mckeown, K.R.: Predicting the semantic orientation of adjectives. Proc. Acl (2002)"},{"key":"1_CR11","doi-asserted-by":"crossref","unstructured":"Huang, S., Niu, Z., Shi, C.: Automatic construction of domain specific sentiment lexicon based on constrained label propagation. Knowl.-Based Syst. 56, 191\u2013200 (2014)","DOI":"10.1016\/j.knosys.2013.11.009"},{"key":"1_CR12","doi-asserted-by":"crossref","unstructured":"Turney, P.D.: Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, July 6\u201312, 2002, Philadelphia, PA, USA, pp. 417\u2212424 (2002)","DOI":"10.3115\/1073083.1073153"},{"key":"1_CR13","unstructured":"Wawer, A.: Mining co-occurrence matrices for SO-PMI paradigm word candidates. In: Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pp.74\u201380 (2012)"},{"key":"1_CR14","unstructured":"Bollegala, D., Weir, D., Carroll, J.A.: Using multiple sources to construct a sentiment sensitive thesaurus for cross domain sentiment classification. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, vol. 1, pp. 132\u2013141 (2011)"},{"key":"1_CR15","first-page":"1033","volume":"11","author":"A Yang","year":"2013","unstructured":"Yang, A., Lin, J., Zhou, Y.: Method on building chinese text sentiment lexicon. J. Front. Comput. Sci. Technol. 11, 1033\u20131039 (2013)","journal-title":"J. Front. Comput. Sci. Technol."},{"key":"1_CR16","unstructured":"Gao, H., Zhang, J.: Sentiment analysis and visualization of hotel reviews based on sentiment dictionary. Comput. Eng. Softw. 42(01), 45\u201347 (2021)"},{"issue":"2","key":"1_CR17","first-page":"180","volume":"27","author":"L Xu","year":"2017","unstructured":"Xu, L., Lin, H., Pan, Y., et al.: Constructing the affective lexicon ontology. J. China Soc. Sci. Tech. Inf. 27(2), 180\u2013185 (2017)","journal-title":"J. China Soc. Sci. Tech. Inf."},{"key":"1_CR18","first-page":"61","volume":"7","author":"X Dun","year":"2017","unstructured":"Dun, X., Zhang, Y., Yang, K.: Fine grained sentiment analysis based on weibo. Data Anal. Knowl. Discovery 7, 61\u201372 (2017)","journal-title":"Data Anal. Knowl. Discovery"},{"key":"1_CR19","first-page":"22","volume":"6","author":"Q Liu","year":"2018","unstructured":"Liu, Q., Shen, W.: Research of keyword extraction of political news based on Word2Vec and TextRank. Inf. Res. 6, 22\u201327 (2018)","journal-title":"Inf. Res."},{"key":"1_CR20","unstructured":"Chi, Y., Zhao, S., Luo, Y. , et al.: Text data preprocessing based on term frequency statistics rules. Comput. Sci. 44(10), 276\u2013282+288 (2017)"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-46674-8_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,4]],"date-time":"2023-11-04T13:15:31Z","timestamp":1699103731000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-46674-8_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031466731","9783031466748"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-46674-8_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"5 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Data Mining and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenyang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"27 August 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 August 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adma2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/adma2023.uqcloud.net\/","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":"Yes. Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"503","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":"216","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":"2.97","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":"3.77","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)"}}]}}