The world health organization (WHO) terms dengue as a serious illness that impacts almost
half of the world's population and carries no specific treatment. Early and accurate detection …

Term weighting is a process of scoring and ranking a term's relevance to a user's information
need or the importance of a term to a document. This thesis aims to investigate novel term …

The present work proposed a semantic retrieval approach to treat the issues of semantic
ambiguity of indexed terms, the uncertainty, and imprecision that is inherent in the …

This paper is devoted to investigate efficiency of thesauri use in popular natural language
processing (NLP) fields: information retrieval and analysis of texts and subject areas. A …

This paper describes a framework that explains the processes involved in the filteration and
analysis of data for user generated content in social media. Previous researches have put …

An enormous quantity of textual documents is created from the advanced technological use
concerning describing, intelligence, interconnection, and thousands of distinct …

In recent years, text mining has been used to extract meaningful insights from the large
volume of unstructured text data sets of various domains. As one of the most representative …

The rapid development of internet technologies and social media over the last few years has
generated a huge amount of unstructured text data, which contains a great deal of valuable …

The paper is devoted to comparison of the quality of text classification with the use of
manually and automatically generated thesauri. For this purpose, the authors applied the …