{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T21:11:41Z","timestamp":1768684301621,"version":"3.49.0"},"reference-count":40,"publisher":"MIT Press - Journals","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Computation"],"published-print":{"date-parts":[[2014,3]]},"abstract":"<jats:p> Ordinal classification (also known as ordinal regression) is a supervised learning task that consists of estimating the rating of a data item on a fixed, discrete rating scale. This problem is receiving increased attention from the sentiment analysis and opinion mining community due to the importance of automatically rating large amounts of product review data in digital form. As in other supervised learning tasks such as binary or multiclass classification, feature selection is often needed in order to improve efficiency and avoid overfitting. However, although feature selection has been extensively studied for other classification tasks, it has not for ordinal classification. In this letter, we present six novel feature selection methods that we have specifically devised for ordinal classification and test them on two data sets of product review data against three methods previously known from the literature, using two learning algorithms from the support vector regression tradition. The experimental results show that all six proposed metrics largely outperform all three baseline techniques (and are more stable than these others by an order of magnitude), on both data sets and for both learning algorithms. <\/jats:p>","DOI":"10.1162\/neco_a_00558","type":"journal-article","created":{"date-parts":[[2013,12,9]],"date-time":"2013-12-09T17:12:13Z","timestamp":1386609133000},"page":"557-591","source":"Crossref","is-referenced-by-count":37,"title":["Feature Selection for Ordinal Text Classification"],"prefix":"10.1162","volume":"26","author":[{"given":"Stefano","family":"Baccianella","sequence":"first","affiliation":[{"name":"Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche, 56124 Pisa, Italy"}]},{"given":"Andrea","family":"Esuli","sequence":"additional","affiliation":[{"name":"Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche, 56124 Pisa, Italy"}]},{"given":"Fabrizio","family":"Sebastiani","sequence":"additional","affiliation":[{"name":"Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche, 56124 Pisa, Italy"}]}],"member":"281","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2010.09.001"},{"key":"B2","first-page":"283","volume-title":"Proceedings of the 9th IEEE International Conference on Intelligent Systems Design and Applications","author":"Baccianella S.","year":"2009"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-00958-7_41"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1145\/1774088.1774461"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.02.010"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.19.3.792"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2002.1183893"},{"key":"B8","first-page":"155","volume-title":"Advances in neural information processing systems, 9","author":"Drucker H.","year":"1997"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1201\/9781584888796.ch2"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1162\/153244303322753670"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015356"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1201\/9781584888796.pt4"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00358"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277811"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.3115\/1654758.1654769"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.1162\/153244303322753616"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2011.2167235"},{"key":"B19","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242759"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50023-4"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2006.53"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84628-986-6"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937632"},{"issue":"1","key":"B24","first-page":"1","volume":"140","author":"Likert R.","year":"1932","journal-title":"Archives of Psychology"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.1201\/9781584888796"},{"key":"B26","first-page":"488","volume-title":"Proceedings of the 20th International Conference on Machine Learning","author":"Liu T.","year":"2003"},{"key":"B27","doi-asserted-by":"publisher","DOI":"10.1201\/9781420035933"},{"key":"B28","doi-asserted-by":"publisher","DOI":"10.4135\/9781412984386"},{"key":"B30","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219855"},{"key":"B31","first-page":"185","volume-title":"Advances in kernel methods: Support vector learning","author":"Platt J. C.","year":"1999"},{"key":"B32","doi-asserted-by":"publisher","DOI":"10.1145\/568574.568577"},{"key":"B33","doi-asserted-by":"publisher","DOI":"10.1145\/952532.952698"},{"key":"B34","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026543900054"},{"key":"B35","volume-title":"Encyclopaedia of mathematics","author":"R\u00fcschendorf L.","year":"2001"},{"key":"B36","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm344"},{"key":"B37","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4573(88)90021-0"},{"key":"B38","first-page":"937","volume-title":"Advances in neural information processing systems, 15","author":"Shashua A.","year":"2003"},{"key":"B39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-68125-0_106"},{"key":"B40","doi-asserted-by":"publisher","DOI":"10.1108\/eb026526"},{"key":"B41","first-page":"412","volume-title":"Proceedings of the 14th International Conference on Machine Learning","author":"Yang Y.","year":"1997"}],"container-title":["Neural Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/NECO_a_00558","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T21:40:14Z","timestamp":1615585214000},"score":1,"resource":{"primary":{"URL":"https:\/\/direct.mit.edu\/neco\/article\/26\/3\/557-591\/7964"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,3]]},"references-count":40,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2014,3]]}},"alternative-id":["10.1162\/NECO_a_00558"],"URL":"https:\/\/doi.org\/10.1162\/neco_a_00558","relation":{},"ISSN":["0899-7667","1530-888X"],"issn-type":[{"value":"0899-7667","type":"print"},{"value":"1530-888X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,3]]}}}