Affective and sentimental computing

In the current big data era, we have witnessed the rapid growth of a large amount of data from various platforms like social media communities, mobile applications, web content providers and so on. Facing such a large volume of Web data, we need an efficient method to understand the high-level semantics and predict public emotional perceptions. Therefore, the computational techniques and machine learning models for sentiment analysis, opinion mainlining, emotion classification and so on, which aims to understand the opinions and sentiments of these large volumes of data are critical. These computational models and methods have been further revolutionized with the recent development of deep learning paradigms in artificial intelligence. Furthermore, this research topic is the inter-disciplinary area which involves not only the machine learning, artificial intelligence and data mining in the computer science …