Rule - based complaint detection / Salma Tayel ; Supervised Andreas Dengel , Stefan Agne , Slim Abdennadher
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TextLanguage: English Publication details: Cairo : Salma Tayel , 2013Description: 83 Leaves : charts ; 30cmDissertation note: Thesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Computer Science and Engineering Summary: Customer reviews and complaints on the web are good source of feedback for companies. However, manually processing web articles related to some business is very time and effort consuming. Therefore, this task should be automated. In this thesis, we investigate the performance of rule - based complaint detection. Rule - based classifiers are very suitable for complaint detection
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Thesis
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قاعة الثقاقات الاجنبية - الدور الثالث | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.34.M.Sc.2013.Sa.R (Browse shelf(Opens below)) | Not for loan | 01010110063621000 |
Thesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Computer Science and Engineering
Customer reviews and complaints on the web are good source of feedback for companies. However, manually processing web articles related to some business is very time and effort consuming. Therefore, this task should be automated. In this thesis, we investigate the performance of rule - based complaint detection. Rule - based classifiers are very suitable for complaint detection
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