Sentiment analysis refers to the class of computational and natural language processing
based techniques used to identify, extract or characterize subjective information, such as …

Emojis have been widely used to simplify emotional expression and enrich user experience.
As an interesting practice of ubiquitous computing, emojis are adopted by Internet users …

Word representation is crucial to lexical features used in Twitter sentiment analysis models.
Recent work has demonstrated that dense, low-dimensional and real-valued word …

Chinese microblogging is an increasingly popular social media platform. Accurately
summarizing representative opinions from microblogs can increase understanding of the …

Nowadays, the automatic detection of emotions is employed by many applications across
different fields like security informatics, e-learning, humor detection, targeted advertising, etc …

Social media represents an emerging challenging sector where the natural language
expressions of people can be easily reported through blogs and short text messages. This is …

Purpose–Due to the size and velocity at which user generated content is created on social
media services such as Twitter, analysts are often limited by the need to pre-determine the …

Whether the online social media, like Twitter or its variant Weibo, can be a convincing proxy
to predict the stock market has been debated for years, especially for China. However, as …

As a new form of social media, microblogging provides platform sharing, wherein users can
share their feelings and ideas on certain topics. Bursty topics from microblogs are the results …

Emotion entrainment, which is generally defined as the synchronous convergence of human
emotions, performs many important social functions. However, what the specific …