The continual advancement of internet technologies has led to the evolution of how
individuals and organizations operate. For example, through the internet, we can now tap a …

Social network has become an inseparable part of our daily lives and thus the automatic
sentiment analysis on social media content is of great significance to identify people's …

Sentiment analysis has been applied to the datasets collected from social networking
websites to get valuable insights. The exemplary growth of social networking has attracted …

Political discourse on social media is seen by many as polarized, vitriolic and permeated by
falsehoods and misinformation. Political operators have exploited all of these aspects of the …

The era of big data has, among others, three characteristics: the huge amounts of data
created every day and in every form by everyday people, artificial intelligence tools to mine …

We pioneer the first extractive summarization-based collaborative filtering model called
ESCOFILT. Our proposed model specifically produces extractive summaries for each item …

Abstract Hybrid Human-Machine Information Systems leverage novel architectures that
make systematic use of Human Computation by means of crowdsourcing. These …

Collaborative crowdsourcing is an emerging paradigm where a set of workers, often with
diverse and complementary skills, form groups and work together to complete complex …

The intelligence of Smart Cities (SC) is represented by its ability in collecting, managing,
integrating, analyzing, and mining multi-source data for valuable insights. In order to …

We propose a novel, accurate, and explainable recommender model (BENEFICT) that
addresses two drawbacks that most review-based recommender systems face. First is their …