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dc.contributor.author Mahmud, Altaf
dc.contributor.author Ahmed, Kazi Zubair
dc.contributor.author Khan, Mumit
dc.date.accessioned 2011-01-17T05:10:50Z
dc.date.available 2011-01-17T05:10:50Z
dc.date.copyright 2008
dc.date.issued 2008-12
dc.identifier.uri http://hdl.handle.net/10361/714
dc.description Includes bibliographical references (page 10).
dc.description.abstract While the internet has become the leading source of information, it is also become the medium for flames, insults and other forms of abusive language, which add nothing to the quality of information available. A human reader can easily distinguish between what is information and what is a flame or any other form of abuse. It is however much more difficult for a language processor to do this automatically. This paper describes a new approach for an automated system to distinguish between information and personal attacks containing insulting or abusive expressions in a given document. In linguistics, insulting or abusive messages are viewed as an extreme subset of the subjective language because of its extreme nature. We create a set of rules to extract the semantic information of a given sentence from the general semantic structure of that sentence to separate information from abusive language. en_US
dc.description.statementofresponsibility Altaf Mahmud
dc.description.statementofresponsibility Kazi Zubair Ahmed
dc.description.statementofresponsibility Mumit Khan
dc.format.extent 10 pages
dc.language.iso en en_US
dc.publisher BRAC University en_US
dc.subject Language processing
dc.title Detecting flames and insults in text en_US
dc.type Article en_US
dc.contributor.department Center for research on Bangla language processing (CRBLP), BRAC University


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