000			a
999			_c11456 _d11456
003			OSt
005			20200306105237.0
008			200306b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_912546 _aGouse, Aaniya
245			_aDetecting Hateful Content on Social Media
250			_aVol.6(3), Sep-Dec
260			_aNew Delhi _bSTM Journals _c2019
300			_a25-31p.
520			_aAbstract: As humans have identified social media as an indispensable mode of interaction, their evil side seems to have spilled all over the social media platforms. With a humongous number of victims to hatred on the social media, we realized it must be rooted out. We proposed creating a classifier that learns from many a feature including lexical, semantic, syntactic, morphological and contextual features. This paper aims to revolve around employing the aforementioned features to learn the classifier and consequently, observe the performance of the classifier. As employing lexical these features in other classification tasks of opinion mining is observed to perform better, it’s expected to work well with hate detection as well.
650		0	_94622 _aComputer Engineering
700			_910500 _aKhan, Afaq Alam
773	0		_dNoida STM Journals _tJournal of artificial intelligence research and advances (JoAIRA)
856			_uhttp://computers.stmjournals.com/index.php?journal=JoAIRA&page=article&op=view&path%5B%5D=2314 _yClick here
942			_2ddc _cAR