The ways people use language can reveal clues to their emotions, social behaviours,
thinking styles, cultures and the worlds around them. In the past two decades, research at …

Computational Social Science (CSS), aiming at utilizing computational methods to address
social science problems, is a recent emerging and fast-develo** field. The study of CSS is …

We introduce Chandler, a system that generates sarcastic responses to a given utterance.
Previous sarcasm generators assume the intended meaning that sarcasm conceals is the …

Previous sarcasm generation research has focused on how to generate text that people
perceive as sarcastic to create more human-like interactions. In this paper, we argue that we …

The development of Information and Communication Technologies (ICT) and Web 2.0
promotes the emergence of diverse social ecosystems like social Internet of Things (IoT) …

On websites like Reddit, users join communities where they discuss specific topics which
cluster them into possible cohorts. The authors within these cohorts have the opportunity to …

We introduce the task of automatic human action co-occurrence identification, ie, determine
whether two human actions can co-occur in the same interval of time. We create and make …

We address the task of human action representation and show how the approach to
generating word representations based on co-occurrence can be adapted to generate …

Predicting user behavior is essential for a large number of applications including
recommender and dialog systems, and more broadly in domains such as healthcare …

The significant advances in science and technology have brought a dramatically change in
human being-life. This paper aims to review the literature to propose a mobile application …