New Classification Models for Detecting Hate and Violence Web Content

Automatic classification of web content has been studied extensively, using different learning methods and tools, investigating different datasets to serve different purposes. Most of the studies have made use of the content and structural features of ...

This research concerns the development of web content detection systems that will be able to automatically classify any web page into pre-defined content categories. Our work is motivated by practical experience and observations that certain categories ...

Proposed a new sentiment analysis method, based on text-based hidden Markov models, that uses word orders without the need of sentiment lexicons.Proposed an ensemble of text-based hidden Markov models using boosting and clusters of words produced by ...