Application of data mining identifying topics at the document level
Cataloged from PDF version of thesis report.
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BRAC University
2012
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| Online dostop: | http://hdl.handle.net/10361/1845 |
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10361-1845 |
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10361-18452022-01-26T10:08:15Z Application of data mining identifying topics at the document level Reza, Marifa Farzin Matin, Rizwana Ali, Abu Mohammad Hammad Department of Computer Science and Engineering, BRAC University Computer science and engineering Cataloged from PDF version of thesis report. Includes bibliographical references (page 17). This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2012. Data mining techniques are very popular in modern days and are used in NLP (Natural Language Processing). One of the techniques like clustering items to groups has been used way back. This technique is applied to find different topics for natural documents. In our thesis we aim to replicate some of these results and empirically verify this measure to identify hypothetical topic boundaries. Reza, Marifa Farzin Matin, Rizwana B. Computer Science and Engineering 2012-05-31T09:04:10Z 2012-05-31T09:04:10Z 2012 4/12/2012 Thesis ID 08101013 ID 08101012 http://hdl.handle.net/10361/1845 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. 18 pages application/pdf BRAC University |
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Brac University |
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Institutional Repository |
| topic |
Computer science and engineering |
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Computer science and engineering Reza, Marifa Farzin Matin, Rizwana Application of data mining identifying topics at the document level |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Ali, Abu Mohammad Hammad |
| author_facet |
Ali, Abu Mohammad Hammad Reza, Marifa Farzin Matin, Rizwana |
| format |
Thesis |
| author |
Reza, Marifa Farzin Matin, Rizwana |
| author_sort |
Reza, Marifa Farzin |
| title |
Application of data mining identifying topics at the document level |
| title_short |
Application of data mining identifying topics at the document level |
| title_full |
Application of data mining identifying topics at the document level |
| title_fullStr |
Application of data mining identifying topics at the document level |
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Application of data mining identifying topics at the document level |
| title_sort |
application of data mining identifying topics at the document level |
| publisher |
BRAC University |
| publishDate |
2012 |
| url |
http://hdl.handle.net/10361/1845 |
| work_keys_str_mv |
AT rezamarifafarzin applicationofdataminingidentifyingtopicsatthedocumentlevel AT matinrizwana applicationofdataminingidentifyingtopicsatthedocumentlevel |
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1814307278727151616 |