Sentiment analysis and computational intelligence

The internet boom of this millennium and especially the explosion of social-networking platforms allow digital data to glide all around the world in real-time and evoke multi-faceted content data analysis as a challenging proposition to scientists as well as researchers. While much of the content originates from various social-media sources on different topics and in different languages, it fuels more challenges to analyze sentiments accurately while processing opinions accumulated from different channels. Emotion and polarity prediction from various social media such as Facebook, Twitter, websites, etc., is becoming an emerging field of predictive modeling. Thus Computational Intelligence (CI) techniques play important roles here to solve such inherent problems of sentiment-analysis applications by serving the key roles in development of recent technologies from academia, even in educational psychology, to industrial arenas such as remote sensing, interfacing technologies, retrieval, and even recommendation systems.