Web contains a vast amount of data, which are accumulated, studied, and utilized by a huge
number of users on a daily basis. A substantial amount of data on the Web is available in an …

These days there are instabilities in many societies in the world, either because of political,
economic, and other societal issues. The advance in mobile technology has enabled social …

The use of background knowledge is largely unexploited in text classification tasks. This
paper explores word taxonomies as means for constructing new semantic features, which …

Nowadays, online news platforms have become the main sources of news for many users.
Hence, an urgent need arises to find a way to classify this news automatically and measure …

Deep neural networks are becoming ubiquitous in text mining and natural language
processing, but semantic resources, such as taxonomies and ontologies, are yet to be fully …

In supervised machine learning, specifically in classification tasks, selecting and analyzing
the feature vector to achieve better results is one of the most important tasks. Traditional …

During the recent pandemic of COVID-19, an increasing amount of information has been
propagated on social media. This situational information is valuable for public authorities …

The Web contains an enormous amount of information, which is managed to accumulate,
researched, and regularly used by many users. The nature of the Web is multilingual and …

A complete and accurate cross-language clone detection tool can support software forking
process that reuses the more reliable algorithms of legacy systems from one language code …

This paper proposes a novel method for assessing text coherence. Central to this approach
is an ontology‐based representation of text, which captures the level of relatedness between …