This paper proposes the use of singular value decomposition and fuzzy c-means algorithms
for Arabic text classification. Al Jazeera Arabic news and CNN Arabic news datasets are …

This paper addresses the problem of automatically structuring heterogenous document
collections by using clustering methods. In contrast to traditional clustering, we study …

Conventional document mining systems mainly use the presence or absence of keywords to
mine texts. However, simple word counting and frequency distributions of term appearances …

Search engine query log is an important information source that contains millions of users'
interests and information needs. In this paper, we tackle the problem of discovering latent …

Ever since the advent of computer systems and, in particular, the Internet, the amount of
information theoretically at our disposal has been increasing exponentially. This …

The explosive growth in the number of documents produced daily necessitates the
development of effective alternatives to explore, analyze, and discover knowledge from …

Search engine query logs are recognized as an important information source that contains
millions of users' web search needs. Discovering Geographic Web Search Topics (G-WSTs) …

Objectives: The objectives of this research article is to deal with the problem of web
document clustering by modeling the web documents as directed completely labeled graphs …

Web search results are far from perfect due to the polysemous and synonymous
characteristics of nature languages, information overload as the results of information …

Analizar los diferentes modelos de representación formal del texto existentes, Estudiar los
hitos más significativos producidos en los últimos años en los sistemas de PLN. Analizar las …