Text mining in big data analytics is emerging as a powerful tool for harnessing the power of
unstructured textual data by analyzing it to extract new knowledge and to identify significant …

Contemporary classification systems assume that psychiatric disorders are expressions of
latent disease entities. However, some critics point to the comorbidity problem and other …

Ways of individual style expression in a natural language include amongst other things
stylometric features. These can be automatically detected with the use of computational …

The use of science to understand its own structure is becoming popular, but understanding
the organization of knowledge areas is still limited because some patterns are only …

Huge volumes of textual information has been produced every single day. In order to
organize and understand such large datasets, in recent years, summarization techniques …

Automatic identification of authorship in disputed documents has benefited from complex
network theory as this approach does not require human expertise or detailed semantic …

Mindset reconstruction maps how individuals structure and perceive knowledge, a map
unfolded here by investigating language and its cognitive reflection in the human mind, ie …

In many countries, wind power is being developed as a primary source of renewable energy.
However, it is difficult to describe and forecast wind speed features, which are stochastic and …

The word sense disambiguation (WSD) task aims at identifying the meaning of words in a
given context for specific words conveying multiple meanings. This task plays a prominent …

Word co-occurrence networks have been employed to analyze texts both in the practical and
theoretical scenarios. Despite the relative success in several applications, traditional co …