Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …

Metadata such as the hashtag is an important dimension of social media communication.
Despite its important role in practices such as curating, tagging, and searching content, there …

Supervised classification based on Contrast Patterns (CP) is a trending topic in the pattern
recognition literature, partly because it contains an important family of both understandable …

Recommender systems are contributing a significant aspect in information filtering and
knowledge management systems. They provide explicit and reliable recommendations to …

The discovery of influential entities in all kinds of networks (eg, social, digital, or computer)
has always been an important field of study. In recent years, Online Social Networks (OSNs) …

Web platforms, especially social media, are facing a new and ever-evolving cyber threat
operating at the information level. Their open nature allows a high velocity flow of rumours …

In this paper, we propose a new network-based model to uniformly represent the structured,
semi-structured and unstructured sources of a data lake, which is one of the newest and …

The success of Web-based applications depends on their ability to convert first-time users
into recurring ones. This problem is known as Pure Cold-Start and it refers to the capability …

E-learning recommender systems are gaining significance nowadays due to its ability to
enhance the learning experience by providing tailor-made services based on learner …

Query expansion has been widely adopted in Web search as a way of tackling the ambiguity
of queries. Personalized search utilizing folksonomy data has demonstrated an extreme …