Evidently, online voice of customers (VoC) expressed in social media has emerged as
quality data for researchers who are willing to conduct customer-driven business …

Predicting the citation counts of academic papers is of considerable significance to scientific
evaluation. This study used a four-layer Back Propagation (BP) neural network model to …

Weight-based feature selection (WBFS) are methods used to measure the contribution of
input to output in a trained artificial neural network (ANN). Furthermore, algorithms such as …

Excellent research papers are vital to science and technology advances. Thus, the early
identification of potentially excellent research papers and recognizing their value in science …

Social media big data offers insights that can be used to make predictions of products' future
demand and add value to the supply chain performance. The paper presents a framework …

Prior Twitter-based electoral research has mostly ignored multi-party contexts and 'mix
tweets' that jointly mention more than one party. Hence, we investigate the complex nature of …

Resistance is one of the important performance indicators of ships. In this paper, a prediction
method based on the Radial Basis Function neural network (RBFNN) is proposed to predict …

Severe abuse of social media has currently become a threat to social sustainability.
Although “responsible use of social media” has recently attracted academics' attention, few …

Carbonation of concrete has significant influence on the service life of constructions and
great effort has been made to establish an accurate and efficient model of carbonation that …

Big Data is a very popular term today. Everywhere you turn companies and organizations
are talking about their Big Data solutions and Analytic applications. The source of the data …