Estimating the semantic similarity between text data is one of the challenging and open
research problems in the field of Natural Language Processing (NLP). The versatility of …

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 …

Purpose Previous research reports mixed results regarding the performance impact of
servitization in manufacturing firms. To resolve this, the purpose of this paper is to develop a …

Artificial Intelligence federates numerous scientific fields in the aim of developing machines
able to assist human operators performing complex treatments---most of which demand high …

Even though the private sector plays a pivotal role in the success of the Sustainable
Development Goals (SDGs), the assessment of the firms' contribution to the Goals has so far …

Abstract The Information Content (IC) of a concept is a fundamental dimension in
computational linguistics. It enables a better understanding of concept's semantics. In the …

Semantic similarity assessment between concepts is an important task in many language
related applications. In the past, several approaches to assess similarity by evaluating the …

Semantic measures are widely used today to estimate the strength of the semantic
relationship between elements of various types: units of language (eg, words, sentences …

A focused crawler is topic-specific and aims selectively to collect web pages that are
relevant to a given topic from the Internet. In many studies, the Vector Space Model (VSM) …

Numerous rating prediction approaches have exploited users' review texts to learn the
associated preference knowledge or content semantics in order to make more accurate …