{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T10:00:55Z","timestamp":1760608855133,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2015,2,24]],"date-time":"2015-02-24T00:00:00Z","timestamp":1424736000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"JSPS KAKENHI","award":["26540183","25350311"],"award-info":[{"award-number":["26540183","25350311"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,2,24]]},"DOI":"10.1145\/2676723.2677259","type":"proceedings-article","created":{"date-parts":[[2015,2,24]],"date-time":"2015-02-24T14:09:31Z","timestamp":1424786971000},"page":"441-446","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Correlation of Topic Model and Student Grades Using Comment Data Mining"],"prefix":"10.1145","author":[{"given":"Shaymaa","family":"Sorour","sequence":"first","affiliation":[{"name":"Kafr Elsheikh University, Egypt &amp; Kyushu University, Fukuoka, Japan"}]},{"given":"Kazumasa","family":"Goda","sequence":"additional","affiliation":[{"name":"Kyushu Institute of Information Science, Fukuoka, Japan"}]},{"given":"Tsunenori","family":"Mine","sequence":"additional","affiliation":[{"name":"Kyushu University, Fukuoka, Japan"}]}],"member":"320","published-online":{"date-parts":[[2015,2,24]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International Encyclopedia of Education","author":"Baker R. S.","year":"2009","unstructured":"R. S. Baker . Data mining for education . International Encyclopedia of Education ( 3 rd edition). Oxford, UK : Elsevier , 2009 . R. S. Baker. Data mining for education. International Encyclopedia of Education (3rd edition). Oxford, UK: Elsevier, 2009.","edition":"3"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-41175-5_14"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2512276.2512294"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/2041341.2041359"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1504\/IJLT.2012.046864"},{"key":"e_1_3_2_1_8_1","volume-title":"UAI'99","author":"Hofmann T.","year":"2001","unstructured":"T. Hofmann . Probabilistic latent semantic analysis. In Uncertainity in Artificial Intelligence , UAI'99 , Stockholm , 2001 . T. Hofmann. Probabilistic latent semantic analysis. In Uncertainity in Artificial Intelligence, UAI'99, Stockholm, 2001."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007617005950"},{"key":"e_1_3_2_1_10_1","first-page":"1","volume-title":"A practical guide to support vector classification","author":"Hsu C.-W.","year":"2010","unstructured":"C.-W. Hsu , C.-C. Chang , and C.-J. Lin . A practical guide to support vector classification . National Taiwan University , Taipei 106, Taiwan, pages 1 -- 16 , 2010 . C.-W. Hsu, C.-C. Chang, and C.-J. Lin. A practical guide to support vector classification. National Taiwan University, Taipei 106, Taiwan, pages 1--16, 2010."},{"key":"e_1_3_2_1_11_1","volume-title":"Computer Applications in Engineering Education","author":"Romero C.","year":"2010","unstructured":"C. Romero , P. G. Espejo , A. Zfra , J. R. Romero , and S. Ventura . Web usage mining for predicting final marks of students that use moodle courses . Computer Applications in Engineering Education , 2010 . C. Romero, P. G. Espejo, A. Zfra, J. R. Romero, and S. Ventura. Web usage mining for predicting final marks of students that use moodle courses. Computer Applications in Engineering Education, 2010."},{"key":"e_1_3_2_1_12_1","first-page":"318","volume-title":"Learning internal representations by error propagation","author":"Rumelhart D. E.","year":"1986","unstructured":"D. E. Rumelhart , G. E. Hinton , and R. J. Williams . Learning internal representations by error propagation , volume 1 , chapter 8, pages 318 -- 361 . 1986 . D. E. Rumelhart, G. E. Hinton, and R. J. Williams. Learning internal representations by error propagation, volume 1, chapter 8, pages 318--361. 1986."},{"key":"e_1_3_2_1_13_1","first-page":"63","volume-title":"Proc. of CSEDU 2014 conference on Computer Supported Education","author":"Sorour S. E.","year":"2014","unstructured":"S. E. Sorour , T. Mine , K. Goda , and S. Hirokawa . Efficiency of lsa and k-means in predicting students' academic performance based on their comments data . In Proc. of CSEDU 2014 conference on Computer Supported Education , pages 63 -- 74 , 2014 . S. E. Sorour, T. Mine, K. Goda, and S. Hirokawa. Efficiency of lsa and k-means in predicting students' academic performance based on their comments data. In Proc. of CSEDU 2014 conference on Computer Supported Education, pages 63--74, 2014."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/FIE.2014.7044399"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-09635-3_15"}],"event":{"name":"SIGCSE '15: The 46th ACM Technical Symposium on Computer Science Education","sponsor":["SIGCSE ACM Special Interest Group on Computer Science Education"],"location":"Kansas City Missouri USA","acronym":"SIGCSE '15"},"container-title":["Proceedings of the 46th ACM Technical Symposium on Computer Science Education"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2676723.2677259","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2676723.2677259","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T06:12:20Z","timestamp":1750227140000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2676723.2677259"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,2,24]]},"references-count":15,"alternative-id":["10.1145\/2676723.2677259","10.1145\/2676723"],"URL":"https:\/\/doi.org\/10.1145\/2676723.2677259","relation":{},"subject":[],"published":{"date-parts":[[2015,2,24]]},"assertion":[{"value":"2015-02-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}