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    Detecting flames and insults in text

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    Detecting flames and insults in text, 2008.pdf (99.27Kb)
    Date
    2008-12
    Publisher
    BRAC University
    Author
    Mahmud, Altaf
    Ahmed, Kazi Zubair
    Khan, Mumit
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/714
    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.
    Keywords
    Language processing
    Description
    Includes bibliographical references (page 10).
    Department
    Center for research on Bangla language processing (CRBLP), BRAC University
    Collections
    • Conference Papers (Centre for Research on Bangla Language Processing)

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