{"title":"Predicting Corporate Credit Ratings Using Content Analysis of Annual Reports - A Naïve Bayesian Network Approach","authors":"P. Hájek, V. Olej, Ondřej Procházka","doi":"10.1007/978-3-319-52764-2_4","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":113138,"journal":{"name":"Enterprise Applications and Services in the Finance Industry","volume":"141 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Enterprise Applications and Services in the Finance Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-319-52764-2_4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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