The problem of the information representation and interpretation coming from senses by the
brain has plagued scientists for decades. The same problems, from a different perspective …

Text categorization is an interesting application of machine learning covering a wide range
of possible applications, from document management systems to web mining. In designing …

Natural language processing and text mining applications have gained a growing attention
and diffusion in the computer science and machine learning communities. In this work, a …

Artificial neural networks offer great classification performances, but their internal model
works as a black box. This can prevent their outcomes to be employed in real-world decision …

Text data mining is the process of extracting and analyzing valuable information from text. A
text data mining process generally consists of lexical and syntax analysis of input text data …

The paper considers two linguistic models, analyzed the possibility of their use for the text
data classification as well as their associations in the integrated texts presentation. A …

Text embedding using vector space models has recently emerged as the leading way to
represent text in natural language processing. These embeddings can be at the level of …

With the advancing growth of the World Wide Web (WWW) and the expanding availability of
electronic text documents, the automatic assignment of text classification (ATC) has become …

This work is partly the outcome of my determination to combine two of my great interests–
mathematics and computing. It has been an unadulterated joy to get the opportunity to use …

The problem of representing the atomic elements of language in modern neural learning
systems is one of the central challenges of the field of natural language processing. I present …