| dc.contributor.advisor | Khan, Mumit | |
| dc.contributor.author | Mansur, Munirul | |
| dc.date.accessioned | 2010-09-06T06:29:41Z | |
| dc.date.available | 2010-09-06T06:29:41Z | |
| dc.date.copyright | 2006 | |
| dc.date.issued | 2006-08 | |
| dc.identifier.other | ID 02101043 | |
| dc.identifier.uri | http://hdl.handle.net/10361/61 | |
| dc.description | This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2006. | en_US |
| dc.description | Cataloged from PDF version of thesis report. | |
| dc.description | Includes bibliographical references (page 30). | |
| dc.description.abstract | The goal of any classification is to build a set of models that can correctly predict the class of different objects. Text categorization is one such application and can be used in many classification task, e.g. news categorization, language identification, authorship attribution, text genre categorization, recommendation systems etc. In this paper we analyze the performance of n-gram based text categorization for Bangla in a Bangladeshi newspaper, Prothom-Alo corpus. | en_US |
| dc.description.statementofresponsibility | Munirul Mansur | |
| dc.publisher | BRAC University | en_US |
| dc.rights | BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
| dc.subject | Computer science and engineering | |
| dc.title | Analysis of N-Gram based text categorization for Bangla in a newspaper corpus | en_US |
| dc.type | Thesis | en_US |
| dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
| dc.description.degree | B. Computer Science and Engineering | |
