<div>
<div>
<div>
<p>Abstract
</p>
<p>The ceaseless connectivity imposed by the internet has
made many vulnerable to offensive comments, be it their
physical appearance, political beliefs, or religion. Some define
hate speech as any kind of personal attack on one’s identity or
beliefs. Of the many sites that grant the ability to spread such
offensive speech, Twitter has arguably become the primary
medium for individuals and groups to spread these hurtful
comments. Such comments typically fail to be detected by
Twitter’s anti-hate system and can linger online for hours
before finally being taken down. Through sentiment analysis,
this algorithm is able to distinguish hate speech effectively
through the classification of sentiment.
</p>
</div>
</div>
</div>
Incremental Semi-Supervised classification of data streams via self-representative selection
