{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,12]],"date-time":"2024-05-12T10:10:02Z","timestamp":1715508602430},"reference-count":14,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2013,6,14]],"date-time":"2013-06-14T00:00:00Z","timestamp":1371168000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K\u00fcnstl Intell"],"published-print":{"date-parts":[[2013,8]]},"DOI":"10.1007\/s13218-013-0255-2","type":"journal-article","created":{"date-parts":[[2013,6,13]],"date-time":"2013-06-13T08:31:25Z","timestamp":1371112285000},"page":"255-265","source":"Crossref","is-referenced-by-count":1,"title":["High Value Media Monitoring With Machine Learning"],"prefix":"10.1007","volume":"27","author":[{"given":"Matti","family":"Lyra","sequence":"first","affiliation":[]},{"given":"Daoud","family":"Clarke","sequence":"additional","affiliation":[]},{"given":"Hamish","family":"Morgan","sequence":"additional","affiliation":[]},{"given":"Jeremy","family":"Reffin","sequence":"additional","affiliation":[]},{"given":"David","family":"Weir","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,6,14]]},"reference":[{"issue":"4","key":"255_CR1","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1006\/csla.1999.0128","volume":"13","author":"SF Chen","year":"1999","unstructured":"Chen SF, Goodman J (1999) An empirical study of smoothing techniques for language modeling. Comput Speech Lang 13(4):359\u2013393","journal-title":"Comput Speech Lang"},{"key":"255_CR2","first-page":"44","volume-title":"Proceedings of the 2nd workshop on computational approaches to subjectivity and sentiment analysis (WASSA 2.011)","author":"D Clarke","year":"2011","unstructured":"Clarke D, Lane P, Hender P (2011) Developing robust models for favourability analysis. In: Proceedings of the 2nd workshop on computational approaches to subjectivity and sentiment analysis (WASSA 2.011), Portland, Oregon, June 2011. Association for Computational Linguistics, Stroudsburg pp 44\u201352."},{"key":"255_CR3","first-page":"1289","volume":"3","author":"G Forman","year":"2003","unstructured":"Forman G (2003) An extensive empirical study of feature selection metrics for text classification. J Mach Learn Res 3:1289\u20131305","journal-title":"J Mach Learn Res"},{"key":"255_CR4","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1163\/9789004653566_015","volume-title":"Corpus based research in language. Honour of Jan Aarts","author":"WA Gale","year":"1994","unstructured":"Gale WA, Church KW (1994) What\u2019s wrong with adding one? In: Oostdijk N, de Haan P (eds) Corpus based research in language. Honour of Jan Aarts. Rodopi, Amsterdam, pp 189\u2013200"},{"issue":"3","key":"255_CR5","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1080\/09296179508590051","volume":"2","author":"WA Gale","year":"1995","unstructured":"Gale WA, Sampson G (1995) Good-turing frequency estimation without tears. J Quant Linguist 2(3):217\u2013237","journal-title":"J Quant Linguist"},{"key":"255_CR6","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1093\/biomet\/40.3-4.237","volume":"40","author":"IJ Good","year":"1953","unstructured":"Good IJ, Turing AM (1953) The population frequencies of species and the estimation of population parameters. Biometrika 40:237\u2013264","journal-title":"Biometrika"},{"key":"255_CR7","volume-title":"Proceedings of the thirtieth SGAI international conference on artificial intelligence","author":"PD Green","year":"2010","unstructured":"Green PD, Lane PCR, Rainer AW, Scholz S (2010) Selecting measures in origin analysis. In: Proceedings of the thirtieth SGAI international conference on artificial intelligence"},{"issue":"2","key":"255_CR8","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1023\/A:1007452223027","volume":"30","author":"M Kubat","year":"1998","unstructured":"Kubat M, Holte RC, Matwin S (1998) Machine learning for the detection of oil spills in satellite radar images. Mach Learn 30(2):195\u2013215","journal-title":"Mach Learn"},{"key":"255_CR9","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to information retrieval","author":"CD Manning","year":"2008","unstructured":"Manning CD, Raghavan P, Sch\u00fctze H (2008) Introduction to information retrieval. Cambridge University Press, New York"},{"key":"255_CR10","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1007\/BFb0026677","volume-title":"Machine learning: ECML-98","author":"D Mladeni\u0107","year":"1998","unstructured":"Mladeni\u0107 D (1998) Feature subset selection in text-learning. In: Machine learning: ECML-98, pp 95\u2013100"},{"key":"255_CR11","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1145\/584792.584911","volume-title":"Proceedings of the eleventh international conference on information and knowledge management","author":"M Rogati","year":"2002","unstructured":"Rogati M, Yang Y (2002) High-performing feature selection for text classification. In: Proceedings of the eleventh international conference on information and knowledge management. ACM, New York, pp 659\u2013661"},{"key":"255_CR12","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1109\/ICDM.2005.34","volume-title":"Proceedings of the fifth IEEE international conference on data mining (ICDM \u201905)","author":"L Tang","year":"2005","unstructured":"Tang L, Liu H (2005) Bias analysis in text classification for highly skewed data. In: Proceedings of the fifth IEEE international conference on data mining (ICDM \u201905), Washington, DC, USA. IEEE Comput. Soc., Los Alamitos, pp 781\u2013784"},{"key":"255_CR13","unstructured":"Tufte E (2004) Sparkline theory and practice. http:\/\/www.edwardtufte.com\/bboard\/q-and-a-fetch-msg?msg_id=0001OR&topic_id=1 May 2004"},{"issue":"2","key":"255_CR14","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1145\/984321.984322","volume":"22","author":"C Zhai","year":"2004","unstructured":"Zhai C, Lafferty J (2004) A study of smoothing methods for language models applied to information retrieval. ACM Trans Inf Syst 22(2):179\u2013214","journal-title":"ACM Trans Inf Syst"}],"container-title":["KI - K\u00fcnstliche Intelligenz"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13218-013-0255-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13218-013-0255-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13218-013-0255-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,12]],"date-time":"2024-05-12T09:29:18Z","timestamp":1715506158000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13218-013-0255-2"}},"subtitle":["Using Machine Learning to Drive Cost Effectiveness in an Established Business"],"short-title":[],"issued":{"date-parts":[[2013,6,14]]},"references-count":14,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2013,8]]}},"alternative-id":["255"],"URL":"https:\/\/doi.org\/10.1007\/s13218-013-0255-2","relation":{},"ISSN":["0933-1875","1610-1987"],"issn-type":[{"value":"0933-1875","type":"print"},{"value":"1610-1987","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,6,14]]}}}