Abstract Machine learning is as growing as fast as concepts such as Big data and the field of
data science in general. The purpose of the systematic review was to analyze scholarly …

Abstract The current SMAC (Social, Mobile, Analytic, Cloud) technology trend paves the way
to a future in which intelligent machines, networked processes and big data are brought …

Supervised and unsupervised learning algorithms have shown a great potential in
knowledge acquisition from large data sets. Supervised learning reflects the ability of an …

The purpose of document classification is to assign the most appropriate label to a specified
document. The main challenges in document classification are insufficient label information …

Immunization is an indispensable mechanism for preventing infectious diseases in modern
society, and vaccine safety is closely related to public health and national security. However …

Abstract Legal Judgment Prediction (LJP) aims to predict the judgment result based on the
facts of a case and becomes a promising application of artificial intelligence techniques in …

Machine learning is adopted in a wide range of domains where it shows its superiority over
traditional rule-based algorithms. These methods are being integrated in cyber detection …

With the growing popularity of artificial intelligence (AI) transforming business-to-business
(B2B) marketing, there is a growing demand to comprehensively understand the adoption …

This paper is written for (social science) researchers seeking to analyze the wealth of social
media now available. It presents a comprehensive review of software tools for social …

Automatic charge prediction aims to predict the final charges according to the fact
descriptions in criminal cases and plays a crucial role in legal assistant systems. Existing …