Guest Editorial: Sentiment Analysis as a Multidisciplinary Research Area

The papers in this special section focus on bringing multidisciplinary knowledge into sentiment analysis. The last two decades have witnessed an enormous amount of research works on sentiment analysis and significant progress has been made. In terms of depth, finer-grained semantic schemas are defined, such as aspect, target, and category. In terms of broadness, multimodal sentiment analysis touches audio and video channels. Conversational sentiment analysis considers contextual and time-dependent relations and domain-specific sentiment analysis settings tackles real-life challenges, including but not limited to user profiling, financial prediction, abusive language detection, and mental health.