1. A computer-implemented real-time, emotional-monitoring system for brands and companies, comprising a computer system comprising hardware and software, said computer system implementing the steps of obtaining real-time social media conversations, inputting said real-time social media conversations into the computer system, wherein the software automatically classifies, categorizes and summarizes expressed emotions in said real-time social media conversations by using a knowledge base of emotional words, or phrases, or both words and phrases as an input, wherein the knowledge base comprises a list of emotional tokens and pairwise token distance using a degree of similarity, each pair associated with a valence and arousal score expressed on a scale, defining a continuous distance metric between said real-time social media conversations comprising same or different number of the emotional tokens utilizing an expand-align-compare (EAC) algorithm, conducting hierarchical clustering based on that distance metric, and outputting a result associated with said hierarchical clustering.