The domain of Aspect-based Sentiment Analysis, in which aspects are extracted, their
sentiments are analysed and sentiments are evolved over time, is getting much attention …

Real-life events are emerging and evolving in social and news streams. Recent methods
have succeeded in capturing designed features of monolingual events, but lack of …

The development of wireless sensor networking, social networking, and wearable sensing
techniques has advanced the boundaries of research on understanding social dynamics …

One of the interesting trending phenomena in sentiment analysis is the prediction of
sentiment given by the user towards an aspect term. Till today, a considerable number of …

Probabilistic topic models, which can discover hidden patterns in documents, have been
extensively studied. However, rather than learning from a single document collection …

The present work proposes social media as a tool to understand the relationship between
journalists' social networks and the content they produce. Specifically, we ask,“what is the …

Sentiment analysis is used to mine text data from many sources, including blogs, support
forums, and social media, in order to extract customers' opinions and attitudes. The results …

Aspect-based opinion mining is finding elaborate opinions towards a subject such as a
product or an event. With explosive growth of opinionated texts on the Web, mining aspect …

Background Biomedical literature concerns a wide range of concepts, requiring controlled
vocabularies to maintain a consistent terminology across different research groups …

Social sensors perceive the real world through social media and online web services, which
have the advantages of low cost and large coverage over traditional physical sensors. In …