Distinguishing between factual information and insulting or abusive messages bearing words or phrases in news articles
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2006.
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BRAC University
2010
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| Sarrera elektronikoa: | http://hdl.handle.net/10361/96 |
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10361-96 |
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10361-962022-01-26T10:15:52Z Distinguishing between factual information and insulting or abusive messages bearing words or phrases in news articles Mahmud, Altaf Ahmed, Kazi Zubair Khan, Mumit Department of Computer Science and Engineering, BRAC University Computer science and engineering This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2006. Cataloged from PDF version of thesis report. Includes bibliographical references (page 75). Since Internet has become the leading source of information for the users, flames or abusive messages have also become the prominent factors of time wasting for retrieving information. Moreover, a text can contain factual information as well as abusive or insulting contents. This paper describes a new approach for an automated system to distinguish between information and personal attack containing insulting or abusive messages in a given document. In NLP, flames or abusive messages are considered as extreme subjective language, which refers to detect personal opinions or emotions in a news article. Insulting or abusive messages are viewed as extreme subset of the subjective language because of its extreme nature. We defined some rules to extract the semantic information of a given sentence from the general semantic structure of that sentence. Altaf Mahmud Kazi Zubair Ahmed B. Computer Science and Engineering 2010-09-19T05:18:31Z 2010-09-19T05:18:31Z 2006 2006-08 Thesis ID 02201117 ID 02101119 http://hdl.handle.net/10361/96 en 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. 84 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Computer science and engineering |
| spellingShingle |
Computer science and engineering Mahmud, Altaf Ahmed, Kazi Zubair Distinguishing between factual information and insulting or abusive messages bearing words or phrases in news articles |
| 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. |
| author2 |
Khan, Mumit |
| author_facet |
Khan, Mumit Mahmud, Altaf Ahmed, Kazi Zubair |
| format |
Thesis |
| author |
Mahmud, Altaf Ahmed, Kazi Zubair |
| author_sort |
Mahmud, Altaf |
| title |
Distinguishing between factual information and insulting or abusive messages bearing words or phrases in news articles |
| title_short |
Distinguishing between factual information and insulting or abusive messages bearing words or phrases in news articles |
| title_full |
Distinguishing between factual information and insulting or abusive messages bearing words or phrases in news articles |
| title_fullStr |
Distinguishing between factual information and insulting or abusive messages bearing words or phrases in news articles |
| title_full_unstemmed |
Distinguishing between factual information and insulting or abusive messages bearing words or phrases in news articles |
| title_sort |
distinguishing between factual information and insulting or abusive messages bearing words or phrases in news articles |
| publisher |
BRAC University |
| publishDate |
2010 |
| url |
http://hdl.handle.net/10361/96 |
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AT mahmudaltaf distinguishingbetweenfactualinformationandinsultingorabusivemessagesbearingwordsorphrasesinnewsarticles AT ahmedkazizubair distinguishingbetweenfactualinformationandinsultingorabusivemessagesbearingwordsorphrasesinnewsarticles |
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