Automatic text classification is the task of organizing documents into pre-determined classes,
generally using machine learning algorithms. Generally speaking, it is one of the most …

Short text similarity measurement methods play an important role in many applications
within natural language processing. This paper reviews the research literature on short text …

Various applications in computational linguistics and artificial intelligence employ semantic
similarity to solve challenging tasks, such as word sense disambiguation, text classification …

There has been a meteoric rise in the total amount of digital texts as a direct result of the
proliferation of internet access. As a direct result of this, document clustering has evolved …

Abstract The Web-based Multicriteria Spatial Decision Support Systems (MC-SDSS)
enhance the collaborative/participatory spatial decision making by providing the relevant …

Dimensionality reduction of feature vector size plays a vital role in enhancing the text
processing capabilities; it aims in reducing the size of the feature vector used in the mining …

This paper addresses the notion of semantic similarity between concepts organized
according to a taxonomy, based on the well-known information content approach. This …

Semantic-enhanced recommendation systems are promising approaches to overcome the
sparsity and cold-start problems, which are hard to handle using the conventional …

ABSTRACT Self-Service Business Intelligence (SSBI) increases decision-making reactivity
of companies by facilitating the data use by non-IT experts. An important SSBI dimension is …

The similarity between biomedical terms/concepts is a very important task for biomedical
information extraction and knowledge discovery. The measures and tests are tools used to …