Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

Figurative language (FL) seems ubiquitous in all social media discussion forums and chats,
posing extra challenges to sentiment analysis endeavors. Identification of FL schemas in …

Most studies analyzing political traffic on Social Networks focus on a single platform, while
campaigns and reactions to political events produce interactions across different social …

This Element provides a basic introduction to sentiment analysis, aimed at hel** students
and professionals in corpus linguistics to understand what sentiment analysis is, how it is …

Recommender systems have greatly evolved in recent years and have become an integral
part of the Web. From e-commerce sites to mobile apps, our daily routine revolves around a …

User experience design and subsequent usability evaluation can benefit from knowledge
about user interaction, types, deployment settings and situations. Most of the time, the user …

Natural Language Processing (NLP) research has traditionally been predominantly focused
on English, driven by the availability of resources, the size of the research community, and …

This study investigates the relationship between climate change risks, namely transition and
physical risks, and their predictive effects on Environmental, Social, and Governance (ESG) …

Mining social web text has been at the heart of the Natural Language Processing and Data
Mining research community in the last 15 years. Though most of the reported work is on …

Modelling user voting intention in social media is an important research area, with
applications in analysing electorate behaviour, online political campaigning and advertising …