Deep convolutional neural networks (CNNs) have achieved breakthrough performance in
many pattern recognition tasks such as image classification. However, the development of …

The purpose of this research is to investigate the status and the evolution of the scientific
studies on the applications of social media in the business. The present research is an …

It is important for many different applications such as government and business intelligence
to analyze and explore the diffusion of public opinions on social media. However, the rapid …

Businesses are currently using social media analytics (SMA) to develop insights for
improving performance and productivity across different functions. The SMA knowledge is …

With the development of social media (eg Twitter, Flickr, Foursquare, Sina Weibo, etc.), a
large number of people are now using them and post microblogs, messages and multi …

Visual analytics usually deals with complex data and uses sophisticated algorithmic, visual,
and interactive techniques supporting the analysis. Findings and results of the analysis often …

Nowadays, various data collected in urban context provide unprecedented opportunities for
building a smarter city through urban computing. However, due to heterogeneity, high …

The unprecedented availability of social media data offers substantial opportunities for data
owners, system operators, solution providers, and end users to explore and understand …