Emotion recognition has recently attracted extensive interest due to its significant
applications to human–computer interaction. The expression of human emotion depends on …

Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …

In this paper, a novel dual-channel system for multi-class text emotion recognition has been
proposed, and a novel technique to explain its training & predictions has been developed …

Financial news articles are believed to have impacts on stock price return. Previous works
model news pieces in bag-of-words space, which analyzes the latent relationship between …

In July 2010, Terry Jones, the pastor of a small fundamentalist church in Florida, announced
plans to burn two hundred Qur'ans on the anniversary of the September 11 attacks. Though …

Numerous studies indicate that civil society organizations create cultural change by
deploying mainstream messages that resonate with prevailing discursive themes. Yet these …

Sentiment analysis of online documents such as news articles, blogs and microblogs has
received increasing attention in recent years. In this article, we propose an efficient algorithm …

With the rapid proliferation of Web 2.0, the identification of emotions embedded in user-
contributed comments at the social web is both valuable and essential. By exploiting large …

The rapid development of social media services has facilitated the communication of
opinions through online news, blogs, microblogs/tweets, instant-messages, and so forth …

General-purpose emotion lexicons (GPELs) that associate words with emotion categories
remain a valuable resource for emotion detection. However, the static and formal nature of …